Remote 💻 Development Jobs

Head of Data Science - Generative AI

Department:Tech - Data Science

Location:Barcelona

About the opportunity

We are seeking an inspirational and strategic Head of Data Science to lead our Generative AI team. This is a critical leadership role where you will define and drive the strategy for developing production-ready generative AI applications, transforming how N26 operates and serves its millions of customers across Europe.Your team develops cutting-edge generative AI workflows, agents, and agentic systems for internal automation and to enable innovative, high-impact customer-facing product features.Are you ready to lead a high-performing team and accelerate the application of generative AI and machine learning to projects that affect millions of users all over Europe? Would you like to set the technical direction and investigate new generative AI capabilities to implement novel, strategic use cases? Come join us! 🤗

In this role, you will:

1. Architect and drive the end-to-end AI transformation across N26. This technical leadership role involves designing the MLOps infrastructure for scalable Generative AI solutions, establishing robust enterprise-wide technical standards for responsible AI governance, and championing the organizational and cultural change necessary to integrate and scale innovative GenAI solutions across all business units.

• Strategy and Leadership: Define, communicate, and execute the overall Data Science roadmap and vision for the Generative AI function, ensuring alignment with N26’s product and business goals.
• Team Management: Lead, mentor, and grow a diverse team of experienced AI experts, fostering a culture of technical excellence, continuous learning, and impact.
• Technical Oversight: Provide strategic and architectural guidance on the delivery of robust and compliant generative AI (both language and vision) solutions, including workflows, agentic systems, advanced prompt engineering, model selection, and the implementation of strong guardrails.
• Execution Excellence: Oversee cutting-edge AI projects end-to-end, driving best practices from applied research and initial experimentation (discoveries and MVPs) through advanced validation strategies to scalable production deployment.
• Stakeholder Collaboration: Partner closely with Product Managers, Backend Engineering, Compliance, and Executive Leadership to identify high-leverage opportunities, deliver measurable value, and maximize the impact of the team’s solutions.

What you need to be successful

• An advanced degree (Master’s or PhD) in a quantitative discipline such as Computer Science, Data Science, or Mathematics/Statistics is highly preferred.
• Significant professional experience (8+ years) in the development, production, and scaling of ML/AI solutions.
• Proven leadership experience (5+ years) managing, mentoring, and scaling Data Science or AI/ML teams.

• Exceptional strategic thinking and a track record of defining and executing ambitious technical roadmaps.
• Mastery of common machine learning algorithms, deep learning principles, and generative AI architectures.
• Strong programming proficiency in Python and experience with generative AI frameworks, such as LangChain and LangGraph.
• Demonstrated ability to drive a team to write production-ready, high-quality code.
• Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders and executive leadership.
• Proven ability to continuously learn, challenge the status quo, and drive proactive applied research around the latest advances in generative AI and machine learning.
• Language skills: English full professional proficiency; Proficient knowledge of German, French, Italian or Spanish will be appreciated.

What’s in it for you

• Accelerate your career growth by joining one of Europe’s most talked about disruptors 🚀.
• Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation.
• As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.
• Additional day of annual leave for each year of service.
• A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, experiences, and backgrounds.
• A relocation package with visa support for those who need it.

Responsibilities

• Design, develop, and maintain robust, scalable back-end solutions using Optimizely CMS and Commerce platforms
• Collaborate with front-end developers, architects, designers, and stakeholders to deliver seamless digital experiences
• Develop integrations with third-party systems (APIs, payment gateways, CRM, etc.)
• Ensure code quality through code reviews, unit testing, and best engineering practices
• Optimize application performance, scalability, and security
• Participate in architectural discussions and technical decision-making processes
• Provide technical mentorship to junior developers and actively contribute to knowledge sharing
• Stay up-to-date with the latest Optimizely features, tools, and industry trends

Requirements

• 5+ years of professional back-end development experience
• Solid expertise in Optimizely CMS and Commerce (minimum 2 years hands-on)
• Strong knowledge of .NET Core, C#, and modern development frameworks
• Experience with RESTful API design and integration
• Solid understanding of software design principles, architecture patterns, and performance optimization
• Familiarity with relational databases (e.g., SQL Server) and ORM tools
• Hands-on experience with version control (Git), CI/CD pipelines, and Agile methodologies
• Excellent problem-solving skills and attention to detail

Must have

• Optimizely CMS and Commerce
• .NET Core
• C#
• Experience with headless CMS implementations

Nice to have

• Optimizely Certification(s)
• Knowledge of cloud platforms (Azure or AWS)
• Familiarity with testing frameworks and automated testing practices

What we can offer

• Our modern stack projects are the right mix of exciting and challenging
• Gain access to our diverse range of training programs, courses, and certifications
• Choose your work style - remote, on-site or hybrid in one of our stunning offices. We offer the freedom of flexible working hours
• Enhance your language skills with our corporate English classes
• Work from anywhere and explore the world with our Workation program

Senior Data Scientist, Rides Safety

We’re looking for an experienced Data Scientist to join our Rides Safety team and help build our predictive and automated safety and risk systems - from user screening tooling and telemetry anomaly detection to behaviour factors predictions.

If you're excited about applying machine learning and automated decision-making tools to real-world mobility challenges, you’ll find plenty of impactful work here.Locations: Tallinn, Estonia | Tartu, Estonia

About the role

You'll own Bolt's Safety automation and prediction systems end-to-end and directly influence users from our marketplace with millions of trips daily, working in an independent and self-sufficient full stack product team - from mobile applications through the server infrastructure. Your daily tasks will range from modelling risk to designing and experimenting with automated intervention strategies. This includes managing the load on automation endpoints and real-time data streams. You’ll identify new safety opportunities, run large-scale experiments, and take predictive and automation models from research to production. This is a highly impactful role where your work will directly shape the experience of over 200 million customers worldwide.

Main tasks and responsibilities:

• Identify, research, and prioritise hypotheses to improve automated and predictive safety algorithms (e.g., risk scoring, verification, and progressive interruption systems).
• Develop, deploy, and monitor automated safety systems, ranging from classical supervised learning to real-time risk models and advanced control system designs.
• Design and run large-scale experiments to validate safety approaches and estimate their impact on core safety metrics (e.g., incident rates, verification success, and driver/rider experience).
• Lead the data science and ML-first approach to safety and risk management in the company.
• Partner with analysts, engineers, product managers, and operations specialists to identify safety problems and develop the most efficient, data-informed solutions.

About you:

• Strong ownership mindset and comfort working autonomously from problem research to model deployment.
• 3+ years of experience in machine learning for automated decision making.
• Exceptional knowledge of machine learning algorithms, statistical inference, and autonomous decision-making systems.
• Mastery in Python and SQL.
• Skilled at communication with cross-functional stakeholders.
• At Bolt, using AI daily is a baseline expectation for everyone. If there’s a faster, smarter way to do your work, we expect you to find it. You’re still responsible for the output, so the standard stays high when using AI tools.
• Experience is valuable, but what we really look for is drive, intelligence, and integrity — so if you don’t tick every box, apply anyway.

Software Engineer, Reliability

What you’ll do

• Design, build, ship, and maintain the core observability libraries, tools, and patterns used by all of Checkr’s engineering teams
• Troubleshoot complex production issues across the stack, with respect to performance, availability, and data quality
• Participate in a cross-organization incident response team, driving continuous improvement
• Contribute to architectural discussions within the SRE team and with cross-functional teams
• Influence cross-team projects and the reliability roadmap to enable engineering and help Checkr customers
• Provide consultation and feedback across teams to ensure we are building highly reliable, efficient, and scalable systems

Who you are

• Bachelor’s degree in Computer Science or related field, or equivalent practical experience
• 2+ years of software engineering experience, including 1+ years focused on reliability, scalability, and efficiency of distributed systems
• Proficiency in Python (preferred), Go, or Ruby within Linux environments, and strong understanding of microservices, asynchronous systems, and remote APIs
• Experience developing and operating production, customer-facing systems in AWS or Azure using Kubernetes, Docker, and Terraform
• Skilled in observability and incident response practices using tools such as Datadog, Splunk, Grafana, Prometheus, and OpenTelemetry, with a focus on continuous improvement
• Strong collaboration, documentation, and communication skills, with experience leading small projects, promoting platform adoption, and fostering a self-service, product-first mindset
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes

What We Offer

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive cash and equity compensation, and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend
• In-office hub locations: Denver, CO; San Francisco, CA; Nashville, TN; and Santiago, Chile
• Expectations to work from the office 3+ days a week
• In-office perks: lunch five times a week, commuter stipend, snacks and beverages
• A relocation stipend may be available for those willing to relocate to a Checkr hub location

Senior Frontend Engineer

About HumanSignal Real-world data is the competitive edge in AI. HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide. We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out. If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk. This is a product-engineering role: not “build what you’re told,” but shape what we build —own the problem, propose solutions, and ship outcomes that matter to users and the business.

About the role

We’re hiring a Senior Frontend Engineer with product vision. You’ll lead with craft—shipping fast, accessible UX in React/TypeScript —and partner early with PM/Design to frame problems, prototype to learn, and make pragmatic scope calls. You care about clarity, performance, and simplicity in complex, data-heavy workflows—so the result feels simple, performant, and trustworthy.

Responsibilities

• Build and maintain frontend components and views for labeling, review, and evaluation workflows with performance, accessibility, and scalability in mind.
• Own outcomes, not tasks: refine scope, suggest trade-offs, propose simpler approaches, and land increments that deliver value fast.
• Partner with Product & Design from discovery to delivery: clarify user jobs, write lightweight RFCs/PRDs, and shape scope and milestones.
• Prototype to de-risk UX; use flags/gradual rollouts; gather feedback from users/support and iterate after releases.
• Raise the bar on FE standards: state management, testing, error boundaries, a11y, i18n, and developer ergonomics.
• Partner with Support to investigate production issues, reduce UX papercuts, and turn learnings into fixes.
• Engage with our open-source community (issues, discussions) to understand real-world needs and improve developer experience.
• Participate in architecture discussions and code reviews; mentor teammates and improve patterns across the codebase.

What you’ll bring

• Senior-level experience shipping production React/TypeScript apps (HTML/CSS mastery; ES6+; a11y).
• Strong product sense: you’ve made scope/trade-off decisions and iterated based on real-world usage and feedback.
• Fluency with modern FE tooling (e.g., Vite/Webpack, Jest/Cypress) and state-management patterns.
• Comfort collaborating with APIs and occasionally touching backend code (Django/REST familiarity is a plus).
• Excellent communication at a Senior IC level —you write clear RFCs/PRDs, give actionable reviews, and present trade-offs well.

Nice to have

• Experience with data/ML tools, OSS, design systems, or performance profiling.
• Familiarity with feature flags/gradual rollouts and qualitative feedback loops (support forums, user sessions).
• Prior work on complex, data-heavy UIs (review tools, multi-step workflows, or IDE-like apps).

Our stack
Python/Django, JS/TS, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, Kubernetes, Postgres, Redis.

How we build
Trunk-based development with small, reviewable PRs; feature flags for safe rollouts; strong code reviews; pragmatic testing; and close collaboration with Product/Design/Support.

How we work
At HumanSignal, we follow a six-week cycle known as "Build and Ship" followed by a "Cooldown." During the first four weeks, the team focuses on creating new features and shipping improvements. We also rotate a small group to handle customer support, ensuring everyone stays in touch with real user needs and we can respond quickly to issues. After those four weeks, we have a two-week "Cooldown" period. This is when we tackle technical debt, refine our integration processes, and wrap up those lingering tasks that never quite fit into regular sprints but really help us feel good about our codebase and workflows.

Location & Compensation
At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $140,000 to $200,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

Air Systems Engineer - Mid/Senior

ZeroAvia is seeking an Air Systems Engineer to lead the design and development of air delivery systems for its hydrogen fuel cell powertrains. This role is ideal for an experienced aerospace engineer with deep expertise in air system architecture, turbomachinery, and thermo‑fluid analysis, who can take full technical ownership from concept generation through certification‑ready design, testing, and supplier integration. Acting as a subject matter expert, the successful candidate will work across multidisciplinary teams and the supply chain to develop, analyse, and validate fuel cell cathode and air delivery systems using first‑principles analysis, simulation, and empirical testing, supporting the certification and deployment of ZeroAvia’s current and future zero‑emission propulsion systems.

The Air Systems Engineer will assume responsibility for all aspects of aerothermal design of air delivery systems for hydrogen fuel cell power generation systems. Working with internal stakeholders and the supply chain you will develop and demonstrate air delivery equipment and architectures to support certification of current and future hydrogen fuel cell power generation systems. Acting as the subject matter expert, you will lead on air delivery system topics technical discussions.

You'll need a dynamic approach to complex problem solving including utilising empirical methods, basic calculations from first principles and 1D & 3D simulation tools. You'll use CAD to create designs and drawings of related system components and assemblies and maintain design data in PLM system in accordance with company aeronautical standards.

To succeed in this role, you'll be a self-starter, diligent, results focused and flexible. Aerospace experience, knowledge of CAA, EASA, FAA certification processes and objectives are a huge advantage.

Main responsibilities

• Own all aspects of fuel cell cathode system development; including system architecture, requirements capture, equipment design development and testing.
• Lead aerothermal concept generation through to development of system architecture, requirements and design substantiation documents.
• Analyse air delivery systems and components to define lower level functional and performance requirements.
• Proactively lead internal stakeholders and supply chain on implementation of air delivery system equipment such as electric compressors, filters, valves, heat exchangers, fluid conveyance and instrumentation
• Develop strategies and capabilities for component level engineering evaluation testing including design, installation and commissioning of equipment test rigs.
• Host, participate, present as appropriate in internal and external design and project reviews

Experience and qualifications

• Education: Bachelor's degree in an appropriate discipline and commensurate depth of technical experience, or an equivalent combination of education and experience
• First-hand knowledge of implementing compressed air systems and equipment with direct experience in hydrogen fuel cell system an advantage.
• Experience in implementation of high-speed turbomachinery (compressors, turbines) and associated system architectures.
• Conversant with associated hardware such as compressors, filters, valves, humidifiers and sensors
• Experience in developing air delivery equipment test rigs including instrumentation and data acquisition systems, knowledge of programming environments (e.g. LabVIEW) a plus
• Experience of high voltage direct current (HVDC) systems and power electronics a plus
• User of MATLAB Simulink/Simscape or similar 1D thermo-fluid software
• Experience of commercial CFD codes (e.g. Ansys Fluent/CFX)
• Working knowledge of CAD and PLM tools (e.g. Siemens NX, Teamcentre)
• Use of requirements management tools (e.g. Polarion)
• Commensurate depth of related aerospace industry experience
• Excellent interpersonal skills and level of spoken and written English
• Ability to work on own initiative as well as part of an Integrated Project Team

At ZeroAvia, we’re clean sky thinkers. For the world to achieve truly clean, guilt-free flight, we need a scalable solution; hydrogen-electric powertrains. As a leader in zero-emission aviation and a UK Jet Zero Council member, we’re designing and commercialising hydrogen-powered solutions that will positively impact the future of aviation, global connectivity, and the world.

Join us at our Global HQ in Cotswold Airport, home to some of our aircraft and the workplace of many ZeroAvians. Located just outside the historic market town of Cirencester, you’ll experience a workspace built by engineers for engineers. This is a high-velocity and fast-paced environment with good links to the M4 and M5, so it’s fitting that it’s also our UK Head Office.

Why Join Us?

We want to help you be your best self, at work and at home, that’s why we provide our employees with…

• Private health and dental care– get access to services and support when you need them. Add your family members too.
• Mental health support– enjoy a culture where positive mental health is front of mind with our trained Mental Health First Aiders, Employee Assistance Programmes and wellbeing support.
• Free lunch and healthy snacks– keeping you fuelled up so you can help us deliver the technology of the future
• Sports, games and culture clubs– connect and keep fit with other ZeroAvians by joining one of our clubs – such as, running, cycling, padel, trivia, theatre and gardening.

We also offer:

• Stock options– so you can share in our success.
• 25 days holiday, plus public holidays and additional days awarded for long service
• Free EV Charging and membership in our EV Club.
• Salary Sacrifice Schemes for EV Club, Curry's Tech and Cycle to Work
• Weekly Spot Bonuses to reward excellence.
• Income Protection and Legal Support for peace of mind.
• Relocation Support to make your move seamless.

Diversity and Inclusion

As an emergent company shaping the aviation industry, we know that diversity fuels success and unlocks potential. We embrace being an equal-opportunity employer and actively seek individuals from diverse backgrounds. We value the multitude of skills, perspectives, and mindsets everyone can bring to the table. These experiences ignite creativity, originality, and growth. We proudly reject discrimination in all forms, including that based on race, religion, color, national origin, sex, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

(Senior) Backend Engineer, Platform

About Wheely

Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you.

About the Role

Our Platform team creates the foundation that allows our entire engineering organisation to move fast. This means building shared tooling, managing migrations (including our move from a Ruby monolith), and evolving our infrastructure. We’re looking for a Mid/Senior Backend Engineer to join a team that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery. We are a Go shop, and while we’re busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform. Our interview process includes a recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section and a structured review of past experience and achievements.

What you'll do

• Write high-quality, performant code primarily in Go.
• Implement new microservices while helping us responsibly manage and migrate away from legacy services.
• Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs.
• Ensure our systems stay responsive under heavy load, optimising for both latency and reliability.

Requirements

• 3+ years of experience (5+ years for seniors) building and maintaining scalable backend services.
• We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Java, Ruby, etc.). We hire for engineering fundamentals, not syntax.
• In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka.

What we Offer

• Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice
• Salary: £90,000 – £120,000
• Employee stock options plan
• Private medical and dental insurance
• Life and critical illness cover
• Latest-generation MacBook Pro and 4k display
• Monthly credit towards Wheely journeys
• Cycle to Work scheme
• Professional development stipend
• Relocation support, including visa sponsorship and allowance

All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

QA (DataOps) Engineer

TradingView is the world’s #1 platform for all things investing. 100M+ users trust us to inform their trading decisions. Want to make an impact? Apply now — help shape the future of finance.

What you’ll do

• Data Monitoring: Identify and analyze defects within numerical data streams.
• Incident Investigation (RCA): Conduct root cause analysis to understand why data discrepancies occur.
• Data Remediation: Fix incorrect records and implement measures to prevent their recurrence.
• Collaboration: Work closely with developers and analysts to optimize data processing pipelines.
• Documentation: Document identified defects and the logic behind their resolution within the task lifecycle.

Who you are

• CLI Proficiency: Confidence working in the terminal (Bash/CLI).
• English: Reading proficiency at a level sufficient for understanding technical documentation.
• SDLC Knowledge: A solid understanding of the Software Development Life Cycle.
• Version Control: Hands-on experience with Git/GitHub.
• Domain Expertise: Experience with exchange/market data, and an understanding of trading mechanics or personal investing (plus).
• Automation Skills: Basic Python skills for writing simple processing scripts or proficiency with Regex for searching through large data arrays.

Requirements & Qualifications

• DataOps Engineer with a primary focus on Data Quality
• Experience identifying anomalies, investigating root causes of incorrect metrics, and resolving product data defects
• ŽExperience collaborating with developers and analysts to optimize data pipelines

What we offer you

• Flexible working hours and a hybrid work format
• Well-equipped offices for focused and collaborative work
• A global, distributed team of 500+ professionals
• Learning, mentorship, and long-term career growth
• Relocation support and private health insurance
• Performance-based bonuses
• TradingView Premium access
• Regular team events and company-wide meetups

Tech stack

Not explicitly listed in a separate section; requires Python and Git/GitHub familiarity, Bash/CLI proficiency, and data-focused tooling as part of DataOps and data quality responsibilities.

Team

Hi! We are looking for a DataOps Engineer with a primary focus on Data Quality. Your role won’t involve traditional UI or API testing; instead, you will dive deep into the data—identifying anomalies, investigating the root causes of incorrect metrics, and resolving product data defects. You will become the vital link between raw data and a high-quality final product.

Location & status

Product • Tbilisi • Hybrid

Network Infrastructure Engineer

Conversant Group-Athena7 - United Kingdom (Remote)

Fenix24 is an industry-leading cyber disaster recovery and restoration company. Battling threat actors as The World’s First Civilian Cybersecurity Force, Fenix24 delivers cybersecurity services through its four battalions: Fenix24 for ransomware recovery and restoration; Athena7 for IT security assessments, strategy and planning; Grypho5 for ongoing security-based management; and Argos99 for expert insights into data, assets and infrastructure. Under its Securitas Summa program, Fenix24 ensures organizations are prepared to effectively resist and rapidly recover from a cyberattack, offering a combination of managed data and infrastructure protection, real-time threat intelligence, and ongoing hardening and breach resistance.

Athena7 is one of four battalions fighting threat actors on the front lines of the global cyber war. As part of The World’s First Civilian Cybersecurity Force, Athena7 specializes in resistance hardening, IT security assessments, strategy and planning to ensure an organization's defenses are prepared to effectively resist and rapidly recover from a cyberattack.

The Network Infrastructure Engineer will support both project-based work and the ongoing maintenance of customers' existing network environments, including M&A activities. This role requires hands-on experience with Cisco network switches, firewalls (Fortinet, Palo Alto), SD-WAN, and Wi-Fi 802.1x. The Network Engineer will work closely with senior engineers and the Project Management Office (PMO) to support network projects, gather requirements, help scope project engagements, and ensure the security and performance of client networks.

This is a remote opportunity based within the UK.

Job Duties & Responsibilities:

• Assist in the design and deployment of network solutions for project-based work, including Cisco switches, Fortinet and Palo Alto firewalls, and SD-WAN.
• Gather requirements and assist in scoping project engagements, collaborating with senior engineers and the PMO.
• Provide support for customers' existing network environments, including troubleshooting and maintenance.
• Participate in M&A activities by assisting in the integration of networks, systems, and applications.
• Implement network security measures, including firewall policies, VPNs, and Wi-Fi 802.1x.
• Collaborate with senior engineers and the PMO to execute network projects and implement network changes.
• Assist in cloud networking tasks in Azure and AWS, including connectivity and security configurations.
• Maintain network documentation, including configurations and topology diagrams.
• Stay updated with industry trends and provide support and recommendations to clients.

Qualifications:

• 3-5 years of experience in network support, configuration, and troubleshooting.
• Experience working as a consultant, supporting clients with technical network solutions.
• Hands-on experience with Cisco network switches, Fortinet and Palo Alto firewalls, and SD-WAN technologies.
• Basic understanding of cloud networking in Azure and AWS.
• Experience with M&A network integration support.
• Strong problem-solving skills and ability to manage both project-based work and ongoing support tasks.
• Certifications such as CCNA, CompTIA Network+, or equivalent experience.
• Strong communication and organizational skills.

Benefits & Perks:

• Internal and external learning & development opportunities, including career advancement
• Scheduled & flexible PTO programs
• Family friendly programs- Care packages
• Regular team building events
• Competitive compensation & benefits including:
• Private health insurance
• Mental health and wellness programmes
• Company-matched pension scheme
• Life insurance and income protection insurance
• Monthly fitness/gym membership allowance

Who You Are / Team Description:

Join the world's first Civilian Cybersecurity Force and take your career to the next level!

What you’ll do

Build and deploy ML/AI services. Design, develop, and ship ML models and AI systems that Product Engineering teams rely on. You write the model code, the API layer, the monitoring, and the tests. Not notebooks; production services.

Design with LLMs and APIs. Use LLM APIs (OpenAI, Anthropic, etc.) as building blocks in production systems. You know when to call an LLM, when to fine-tune, when to use a classical model, and when to write a rule. You think about cost, latency, and quality together.

Ship production software. Write clean, well-structured code with solid OOP, proper abstractions, error handling, and tests. Your code gets reviewed by SWEs and passes. CI/CD is how you work, not something you bolt on at the end.

Partner with product and engineering. Translate business problems into ML solutions. Define API contracts with product engineers. Explain your approach clearly to non-ML partners and leave the room with alignment, not confusion.

Evaluate and iterate fast. Build evaluation frameworks, run experiments, and make data-driven decisions about model and system performance. Ship and iterate; don’t wait for perfect.

Ship AI-powered workflows. Put AI to work on your own processes: automate pipelines, build agentic workflows, and contribute reusable skills and context to Checkr’s agentic platform. The expectation is that our teams operate AI-first.

What you bring

• A Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field, or equivalent depth from experience
• 4+ years building software professionally, with at least 2 of those building ML systems that run in production
• Strong Python fluency; you write clean, testable, well-structured code with solid OOP instincts. Not scripts; software
• Hands-on experience using LLM APIs in production systems: prompt engineering, structured outputs, function calling, cost management, and evaluation
• You’ve built and maintained APIs, worked with CI/CD pipelines, and shipped code that other engineers depend on
• Comfortable with distributed systems concepts: queues, async processing, caching, horizontal scaling
• Experience with NLP tasks in production: classification, extraction, entity resolution, summarization
• Comfort with and enthusiasm for AI-assisted workflows; experience using LLMs, code-generation tools, or agentic systems in production or operational contexts is a strong signal
• You can evaluate tradeoffs: fine-tune vs. prompt, hosted vs. self-deployed, classical ML vs. LLM, rule vs. model
• Strong communication skills; you explain technical decisions clearly to engineers and non-engineers alike, without hiding behind jargon
• You use AI tools (Copilot, Claude, etc.) to move faster, but you understand every line they produce. You can spot AI slop and you don’t ship it
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes

Nice to have

• Experience with MLOps platforms (MLflow, SageMaker, Vertex, or similar)
• Background in document processing, OCR, or information extraction
• Experience with PySpark or large-scale data processing
• Ruby experience (Checkr’s platform runs on Rails)
• Familiarity with compliance-sensitive domains (fintech, legal tech, HR tech)
• Working knowledge of dbt, Snowflake, or modern ELT/data transformation tools

What we offer

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive cash and equity compensation, and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend
• In-office perks and hub locations (Denver, CO; San Francisco, CA; Nashville, TN; Santiago, Chile) with in-office presence required 3+ days a week
• A relocation stipend may be available

Who you are

• Based in San Francisco or willing to relocate; strong collaboration with Product Engineering and cross-functional teams
• Customer-, impact-, and result-driven with a passion for building production-grade ML systems

THE ROLE & THE TEAM

As a Senior Principal Applied Scientist, you will drive the scientific vision and execution for the Bidding and Allocation engines within Zalando Marketing Services (ZMS).

Every time a customer interacts with Zalando, our ad tech system must make high-stakes decisions in real-time. The system evaluates thousands of candidate ads, predicts performance metrics, and executes sophisticated auction logic to decide which ad to show and at what price. Every second, we process tens of thousands of requests where the intersection of market dynamics and machine learning creates unique challenges.

In this position, you will lead our optimization efforts at the frontier of high-load low-latency Engineering, Auction Theory, and Mechanism Design. The technical scope covers Large Scale Bayesian Inference, Value based Bidding, Incrementality-based Allocation, Reinforcement Learning, and Multi-Objective Optimization. You will be instrumental in evolving our auction mechanisms to balance advertiser ROI with a premium customer experience

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

• Lead the research and development of our real-time bidding and allocation algorithms, optimizing for long-term platform health, advertiser performance, and user relevance.
• Advance our Auction and Mechanism Design capabilities to ensure a fair, efficient, and transparent marketplace.
• Collaborate with Product Managers, Engineers, and Analysts to translate complex business constraints into mathematical objective functions.
• Drive the long-term scientific and execution roadmap for ZMS Ad Tech Bidding Optimization in collaboration with Engineers and ML Scientists and foster a culture of technical excellence.
• Mentor and grow senior level members of the team, acting as a force multiplier for our scientific community.

WE’D LOVE TO MEET YOU IF

• You have a PhD in Machine learning with a track record of publications and industry experience
• A proven track record of research excellence, evidenced by peer-reviewed publications in relevant fields such as Computational Advertising, Auction Theory, Mechanism Design, or Game Theory (please include these in your application) and/or equivalent applied industry impact track
• At least 10+ years of experience (commensurate with Principal level) in optimizing complex systems through automated algorithms, specifically within Ad Tech, Marketplaces, or related fields.
• Deep theoretical and technical expertise in optimization, control theory, or reinforcement learning applied to bidding and budget pacing.
• Expert knowledge of productionalizing ML models within ultra-low latency constraints and experience with large-scale distributed systems.
• Strong proficiency in Python and related stack, with a solid understanding of how to architect scalable data pipelines for sparse, high-dimensional advertising data.

OUR OFFER

• 27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
• 2 paid volunteering days a year
• Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
• Work from abroad for up to 30 working days a year
• Employee shares program
• 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
• Relocation assistance available (subject to prior agreement)
• Family services, including counseling and support
• Health and wellbeing options (including Wellhub, formerly Gympass)
• Mental health support and coaching available
• Drive your development through our training platform and biannual peer-to-peer review

WHO YOU ARE

• PhD in Machine Learning with publications and industry experience
• 10+ years of experience in optimizing complex systems through automated algorithms in Ad Tech/Marketplaces
• Deep expertise in optimization, control theory, or reinforcement learning for bidding and budget pacing
• Experience productionalizing ML models for ultra-low latency and with large-scale distributed systems
• Strong Python proficiency and ability to architect scalable data pipelines for high-dimensional advertising data

Job title: Data Analyst

What will you do?

• Analyze data to answer business questions, identify patterns, and generate actionable insights
• Research data across complex systems with multiple internal and external sources, understanding data flows, dependencies, and limitations
• Support experiment measurement and analysis, including A/B tests, incrementality studies, and creative testing
• Partner with marketing, product, and engineering on tracking requirements, measurement plans, and documentation
• Design AI-powered automations for insight generation, anomaly detection, data validation, and analytical workflows
• Help maintain data pipelines/semantic layers; ensure metric definitions and transformation logic are clean and well-documented

Who you are

• Educated in Computer Science, Mathematics, Physics, or a similar field
• Hands-on experience with data analysis and automation (SQL + Python, BI tools, workflow automation)
• Proactive mindset and eagerness to grow practical AI skills (ML fundamentals, LLM tooling, data quality automation)
• Experience operationalizing LLM workflows (prompting, evaluation, guardrails) for analytics use cases
• Responsible, self-driven approach with the ability to take ownership of tasks and communicate proactively

What additional skills will help you stand out?

• Experience with warehouses (BigQuery/Snowflake), dbt, Airflow, or similar
• Experience with product, marketing, or user behavior analytics, including funnels, cohorts, retention, attribution, LTV, experimentation, or similar measurement topics
• Familiarity with mobile attribution, analytics, or measurement platforms, as well as working with multi-source data integration
• Experience with predictive modeling techniques (e.g., regression/classification, time-series forecasting, uplift/propensity modeling) and model evaluation

Benefits

• 21 days annual leave (additional days based on years of service: up to 25 days)
• Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave)
• Sick Leave (10 days top-up to statutory allowance per year)
• Maternity Leave (18 weeks top-up to statutory allowance per case)
• Career development and education opportunities within the company
• English Language courses fully covered by the company upon Manager’s approval
• Premium Private Health Care
• Mental well-being program (iFeel)
• Onsite gym and spa
• Free parking close to the Nicosia offices, based on availability
• Free drinks-equipped kitchen in every floor building
• Hellenic Bank benefits (if applicable)
• Employee discounts (e.g. restaurants, bars, etc.)
• Personal Gaming Account
• Onsite canteen with subsidized prices for food and drinks
• Company events, Social Clubs
• Seniority Awards
• Referral program - You can recommend the best talents to the company and receive a reward

Team / Tech & Work Details

• Hybrid work mode (2-3 days of work from the office)
• Relocation & immigration support available
• Tech stack: SQL, Python, BI tools, workflow automation; experience with data warehouses and related tooling is beneficial

Job description

Role: (Senior) Backend Engineer, Maps

What you'll do

• Write high-quality, performant code primarily in Go.
• Implement new microservices while helping to responsibly manage and migrate away from legacy services.
• Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs.
• Ensure our systems stay responsive under heavy load, optimising for both latency and reliability.

Who you are

• 3+ years of experience (5+ years for seniors) building and maintaining scalable backend services.
• We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Java, Ruby, etc.). We hire for engineering fundamentals, not syntax.
• In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka.
• At least 1 year of hands-on experience with mapping-related work such as processing noisy geospatial data, map-matching techniques, or road network graphs and routing algorithms.

Nice to have

• Driver-side intuition for navigation systems (rerouting behavior, GPS drift, missed turns, real-world edge cases).
• Experience with routing engines like OSRM.
• Proficiency in C++.
• Familiarity with open geospatial datasets such as OpenStreetMap.

Tech stack

• Go (primary)
• PostgreSQL, MongoDB, Redis
• RabbitMQ, Kafka
• gRPC, Thrift
• AWS, Kubernetes, Terraform

Team and environment

• Mapping team focused on road matching, low-latency ETA predictions, and processing thousands of coordinates per second.
• Go shop with migration away from a Ruby monolith.
• Work with product managers, designers, and data scientists.

Requirements

• 3+ years of backend experience (5+ for seniors).
• Proficiency in Go or demonstrated strong transition capability to Go.
• Experience with relational and NoSQL databases and message brokers.
• Geospatial/data processing experience for mapping tasks.

Benefits & perks

• Office-based role in West London, four days a week with flexible start/finish times, plus one remote day.
• Salary: £90,000 – £120,000
• Employee stock options plan
• Private medical and dental insurance
• Life and critical illness cover
• Latest-generation MacBook Pro and 4k display
• Monthly credit towards Wheely journeys
• Cycle to Work scheme
• Professional development stipend
• Relocation support, including visa sponsorship and allowance

AI/ML Engineer (all genders)

Your role

We are looking for an experienced AI/ML Engineer to join our Central Data Platform team and take ownership of the machine learning and GenAI infrastructure that powers advanced analytics and AI use cases across the organisation. In this role, you will design, build, and maintain end to end ML pipelines in Vertex AI, ensuring that models move seamlessly from prototype to production ready, monitored, cost efficient, and compliant pipelines. You will also pioneer GenAI enablement, including retrieval augmented generation, embeddings, and AI driven applications, while embedding governance, reproducibility, and scalability from day one. This is a pivotal position with high impact on how AI and machine learning capabilities are delivered, scaled, and governed at Sunday Natural. You will act as the bridge between Data Engineers, Senior Data Analysts, Data Scientists, and business stakeholders, ensuring AI/ML work has measurable, repeatable, and strategic business impact.

What you'll do

• Design, build, and maintain modular, reusable ML pipelines in Vertex AI Pipelines covering training, evaluation, deployment, monitoring, and retraining.
• Develop GenAI capabilities including embeddings, retrieval pipelines, vector databases, and RAG frameworks for chatbots, personalisation, and semantic search.
• Build and manage feature stores and reusable datasets in collaboration with Data Engineers and Analysts.
• Productionise workflows with Prefect orchestration and CI/CD pipelines in Bitbucket.
• Implement continuous evaluation, drift detection, performance monitoring, rollback strategies, and retraining triggers for deployed models.
• Embed GDPR compliance, RBAC, anonymisation, explainability, fairness, and auditability into every model and pipeline.
• Document lineage of features, models, and inference workflows, and partner with the Data Governance Lead on ethical AI frameworks.
• Translate technical capabilities into business friendly outcomes, communicating trade offs across accuracy, latency, and cost to non technical stakeholders.
• Mentor Data Engineers in ML Ops and GenAI techniques, and contribute to internal AI/ML guilds and best practices.

Your profile

• 5 to 7 years of experience in Data Engineering or ML Ops, with at least 3 years focused on productionising ML pipelines.
• A degree in Computer Science, Data Science, Engineering, or a related field. PhD a plus.
• Expert proficiency in Python and ML/DL libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face, and LangChain.
• Strong with BigQuery, dbt, and SQL for feature and data preparation.
• Hands-on experience with Vertex AI for pipeline orchestration, deployment, and monitoring (or AWS/GCP equivalents).
• Experience with Prefect orchestration and CI/CD pipelines in Bitbucket.
• Familiarity with ML Ops frameworks such as MLflow or TFX, and containerisation with Docker and Kubernetes.
• Experience with vector databases such as Pinecone, FAISS, or Milvus.
• Proven delivery of ML or GenAI use cases in production with measurable business impact.
• Strong stakeholder communication and the ability to translate AI/ML into measurable business outcomes.
• Systems thinker with strong ethical grounding in responsible AI; balances innovation with operational reliability and cost control.

Nice to have

• Experience with retrieval augmented generation in regulated or compliance heavy environments.
• Exposure to ecommerce, retail, or DTC AI use cases such as personalisation, recommendation, or demand forecasting.
• Contributions to open source AI/ML projects or active participation in AI/ML communities.

What we offer

• An appealing discount on all of our products – from essential oils to vitamins & nutrients
• The Urban Sports Club membership, Swapfiets bike rental and a subsidy for the BVG ticket
• Your career is unique. That’s why we offer the opportunity for tailored Learning & Development as well as (Leadership) Coaching programs, designed to support your personal professional journey on an individual basis
• We offer 28 days of paid time off per year plus up to 5 days off between Christmas and New Year
• Enjoy a monthly Product of the Month and a birthday gift
• Hybrid model with one home office day per week – up to two depending on area – and up to two weeks per year working from abroad
• Discounts on brands such as Flaconi, Bosch, Apple or Expedia
• Real ownership and room for new initiatives, plus opportunity to implement ideas
• Case-by-case relocation and visa support depending on role and experience
• Inviting office spaces with access to organic teas and superfoods
• Regular tea & office parties, Christmas and summer events, and influencer events such as Women’s Day

About us

Sunday Natural emerged from a long-standing passion and research in the fields of health, healing, and personal growth. The lack of natural, high-quality products on the market was the original motivation for founding Sunday Natural in 2013. We aim to produce the products we ourselves would love to buy – as natural as possible, absolutely pure, free from any additives, and of the highest quality. In a strategic partnership with CVC, Sunday Natural is now one of Germany's most renowned quality manufacturers, with its own research and development department in Berlin. For the continuous improvement of our products, we collaborate with selected research institutes, scientists, therapists, farmers, and professional associations. We take our ecological responsibility very seriously: that’s why the majority of our product range is vegan. We also take an innovative approach to packaging: most of our products are packaged in glass, making them almost entirely recyclable. Our diverse team in Berlin consists of over 350 employees from more than 40 nationalities and continues to grow – but at a sustainable pace. Our goal is to foster a collaborative, supportive, and inclusive work environment with a diverse group of motivated, talented, and visionary team members. We highly value equality of opportunity and inclusivity, and we would like to particularly encourage women and candidates from under-represented backgrounds to apply, even if you don’t match with 100% of the requirements.

The company focuses on the 4X strategy genre, with an ambitious goal of growing our game, Total Battle, into the No. 1 strategy game in the world.

Our team consists of 200+ passionate, talented, self-driven, and continually developing professionals who love making high-quality games.

Our mission: to unite and excite people all over the world.

We are looking for an experienced Senior Client C++ Developer for the Core Team to work on key game project functionalities. We strive for simplicity, scalability, maintainability, and excellent quality in our solutions. Our team's main goal and challenge is to deliver outstanding technical design while ensuring quality, flexibility, and ease of development for game features.

Tasks to be solved

• Creating and supporting core modules Moving code (e.g., map logic, metagameplay) to the core area of responsibility through auditing, refactoring, and separation into modules.
• Redesign and refactoring Developing universal mechanisms for in-game special offers, promotions, buffs, and effects – allowing feature teams to configure specific cases without having to make core edits.
• Refining the HotReload system (which allows us to seamlessly update configurations and functionality in different environments).
• Designing an "instances" system (separate locations/scenes/subsystems) with special game rules.
• Accelerating the integration of new mechanics Identifying typical scenarios and migrating repetitive code into reusable core components.
• Creating a convenient API and clear documentation (guides, FAQs, and examples).
• Maintaining core code quality Decomposition, reviewing code, and refactoring large fragments without the need for huge disruptive changes.

To succeed, you will need

• 6+ years of commercial development, including 4+ years in C++ client-side.
• Experience with 2D/3D game engines (e.g., Cocos2d-x, Unity, or their equivalents).
• Experience in creating or supporting complex game projects (strategy, MMORPG, and/or open world) or large mobile titles with continuous server sync.
• Experience developing reusable client-side logic / shared modules.
• The ability to navigate engine architecture and enhance/expand basic modules as needed.
• Experience in developing core libraries or tools for developer teams (internal framework, plugins, and scripts).
• Knowledge of patterns and design principles (SOLID, GOF, KISS, and YAGNI) and the ability to properly decompose tasks and extract reusable components.
• The ability to work with profilers, templates, memory, and multithreading in practice.
• An understanding of key components (render, layers/scenes, animations/timelines, and Prefab).
• Performance optimization: profiling, render tracing, and memory handling.
• The ability to write testable code (unit tests, integration tests, and automation tests).
• A basic understanding of build pipelines (iOS/Android) and mobile app lifecycles.

The following would be to your advantage

• Experience in writing or running performance tests (load and stress tests).
• Experience in developing with C# (2–3 years). The ability to read others' code and modify modules in Unity as needed.
• Extensive knowledge of game development tools and libraries (Spine/DragonBones, UI solutions, analytics SDK, etc.).
• Experience with software architectures: MVC, MVP, MVVM, ECS.

What we offer

• A Great Place to Work. 99% employee satisfaction, low turnover, and colleagues who genuinely enjoy collaborating.
• Live and work in sunny Cyprus. We’re an office-first team in Limassol with a modern seaside workspace, and full relocation and visa support for you and your family.
• Shape a global hit. We’re the only European studio with a 4X strategy title in the world’s top-10. Our top-50 mobile game has grown 25x in revenue and audience in the last five years.
• Grow fast in a company that’s already strong. We’re independent, financially rock-solid, and expanding at startup speed, and we have never had lay-offs.
• Work where ideas win. Flat structure, collective decision-making, and honest feedback create full transparency and help you grow fast.
• Earn industry-leading rewards. High salaries, a 13th month, performance bonuses, and extra rewards for long service, marriage, or welcoming a child, and lunch every day.
• Feel supported at every stage of life. Private family health insurance, plus a monthly allowance for children’s pre-school, school, and university education.
• Your growth is our priority. From specialized training and certifications to language courses and books, you’ll have everything you need to keep learning.

Manager, QA - League of Legends

For League of Legends, the Manager, QA will lead a team of 5 QA professionals working alongside software engineers, content developers, artists, project managers, and producers to create value for players around the world. Guided by Riot’s Test Policy, you will develop and drive quality activities across every stage of the software development lifecycle. You will also partner with your team and fellow craft leaders to improve delivery and create more efficient solutions to everyday challenges, while coordinating additional QA support, often across remote teams, to ensure work is completed effectively.

What you'll do

• Impact/Scope and Complexity: Shape QA strategy for League of Legends and directly influence development quality across the game
• Ownership: Be responsible for the results and delivery quality of QA professionals across your sphere of influence
• Management: You directly manage the QA professionals on your initiative/teams in addition to guiding their day to day work.
• Craft Knowledge: Bring broad quality assurance knowledge within game development and understand how QA approaches support team goals
• Partner across disciplines to influence testing practices, quality decisions, and player experience outcomes

Required Qualifications

• 5+ years of Quality Assurance experience within game development environments - you have supported & shipped games
• 2+ years leading QA teams within game development, including direct people management, performance management, and HR responsibility
• Experience leading embedded QA professionals as part of cross functional development teams rather than outsourced QA functions
• Experience creating and driving test strategies for (live) games, game features, or live service environments
• Experience managing and aligning with HQ stakeholders remotely across multiple time zones
• Experience with game development pipelines and workflows, with art pipeline experience strongly preferred
• Experience setting strategic goals and driving execution across QA teams
• Experience establishing and tracking quality metrics that influence development decisions and drive improvements

Desired Qualifications

• Familiarity with League of Legends, the game, the champions, its players and community
• I/ASTQB Advanced Test Manager Certification

Benefits & Perks

• Full relocation support
• Full health insurance for you, your spouse and children
• Open paid time off
• Retirement benefits with company matching
• Life insurance, parental leave, plus short-term and long-term disability
• Play Fund to broaden and deepen knowledge of players and community through games
• Donations support to non-profits

If you’re interested in both Manager, QA openings, apply to the one that excites you most. Both roles share the same interview process.

Success in this role comes from craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players.

Service Technician Supervisor

Eindhoven, Noord-Brabant, Netherlands

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Job description

Job ID 8072

Company Fluke

Kindly note that this role is on‑site in Eindhoven, Netherlands. Candidates must be willing to relocate. A sign‑on bonus will be provided upon signature to assist with relocation. Please submit your resume in English.

A Day in the Life of a Service Technician Supervisor

As a Service Technician Supervisor, you will lead a dynamic team of technicians in our main European service lab. Your role is pivotal in ensuring high-quality calibration and repair services for a wide range of test and measurement equipment. With your background in electronics and your passion for continuous improvement, you’ll drive operational excellence and customer satisfaction across the EMEA region.

You’ll apply Lean methodologies and Kaizen principles to streamline processes, improve efficiency, and maintain high standards. Your leadership will inspire and guide your team to meet ambitious goals, including our key performance target: 95% of all repairs and calibrations returned to customers within 5 working days.

Key Responsibilities

• Lead, coach, and motivate a multicultural team of technicians.
• Ensure timely and high-quality calibration and repair services.
• Monitor and report on KPIs, with a strong focus on on-time delivery.
• Support customers with technical advice and service-related queries.
• Collaborate with logistics and other departments to manage growth and improve customer satisfaction.
• Apply Lean and Kaizen principles to optimize workflows.
• Use office tools to manage reports, schedules, and performance metrics.

Your Team

You’ll be part of a vibrant team of 6 to 15 technicians from diverse backgrounds, supported by a strong logistics operation. Together, we’re driving growth and delivering exceptional service to our customers across Europe, the Middle East, and Africa.

What You Bring

• A mid to high-level degree in electronics or equivalent.
• Strong communication skills and ability to work independently.
• Proficiency in English.
• Familiarity with Lean and Kaizen methodologies is a plus.
• Experience with office software for reporting and planning.
• A collaborative mindset and a passion for team success.

Why Join Fluke?

• Work with the world’s leading high-end test and measurement equipment.
• Be part of a supportive and experienced team that fosters growth.
• Enjoy career development opportunities both locally and internationally.

Job title: Math Expert (US & International)

The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio , has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it’s the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk.

About the Role

HumanSignal is seeking highly qualified mathematics experts to contribute to cutting-edge AI development projects. This role involves evaluating, annotating, and validating mathematical content to improve AI model performance in mathematical reasoning and problem-solving.

Responsibilities

• Review and evaluate mathematical solutions for accuracy, rigor, and clarity
• Annotate mathematical reasoning steps and problem-solving approaches
• Validate AI-generated mathematical content across various difficulty levels
• Identify errors in mathematical logic, notation, and methodology
• Provide detailed feedback on mathematical explanations and proofs
• Work with problems spanning algebra, calculus, statistics, linear algebra, differential equations, and advanced mathematics

Qualifications

• Deep understanding of mathematical principles across multiple domains
• Strong analytical and critical thinking skills
• Excellent attention to detail and precision
• Ability to clearly articulate mathematical reasoning
• Experience with mathematical notation and LaTeX preferred
• Familiarity with various problem-solving methodologies
• Ability to work independently and meet deadlines

Work Details

• Flexible, project-based work - work on your own schedule
• Remote position - work from anywhere
• Variable hours based on project availability and your capacity
• Ongoing training and calibration provided
• Quality-focused environment with performance feedback

Ideal Candidate Profile

• Active researchers, professors, or recent graduates in mathematical fields
• Strong publication record or demonstrated mathematical expertise
• Experience in mathematical education, research, or industry applications
• Passion for advancing AI capabilities in mathematical domains

How to Apply

• Submit CV/resume highlighting mathematical qualifications
• Provide proof of advanced degree(s)
• Complete a brief mathematical assessment
• Participate in a qualification review

Company

HumanSignal is a leading provider of AI data annotation and labeling services, powering the development of next-generation AI systems. We work with top technology companies and research institutions to create high-quality training data. HumanSignal is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

PHP Backend-разработчик Kolesa

950 000 – 1 350 000 ₸

- Алматы

- Опыт 3–6 лет

О вакансии

Сейчас мы в поисках PHP разработчика в нашу команду (продукт Kolesa.kz - проект монетизации).

В нашей команде backend разработки 40+ разработчиков, которые не только горят желанием общаться и делиться опытом, но и воплощают в жизнь самые необычные идеи. Мы организовываем митапы, хакатоны, регулярно выступаем на конференциях и пишем статьи.

Каждый месяц больше 12,5 миллионов людей пользуются нашими продуктами. Развивать и поддерживать наши сервисы – это бросать себе ежедневный вызов.

Стек технологий

• Git
• Linux
• Nginx
• PHP
• MySQL
• Kubernetes
• CI/CD
• Docker
• MongoDB
• Redis
• Phalcon
• Symfony

Тебе предстоит

• Развитие и поддержка лучших IT-продуктов Казахстана;
• Создание нового и оптимизация работы имеющегося функционала;
• Повышение надежности и качества системы на всех уровнях;
• Работа над нашими новыми проектами.

Мы ждем от тебя

• Знакомство с инфраструктурой: Linux, Docker, Nginx;
• Знания базы данных: MySQL (обязательно), MongoDb, Redis;
• Умение работать с git, системами сборки и деплоя (bamboo, gitlab, github actions или другие CI/CD);
• Умение давать оценку сроков выполнения задач и соблюдать их, вовремя сигнализировать о проблемах;
• Написание и поддержку тестов;
• Умение находить, решать и предотвращать проблемы с помощью мониторинга, логирования, сбора и анализа метрик;
• Огромное желание расти и развиваться профессионально.

Будет преимуществом

• Знание других языков программирования и баз данных;
• Понимание микросервисной архитектуры, подходов к межсервисному взаимодействию;
• Опыт работы с Kubernetes;
• Знать язык Go или иметь желание его выучить.

Этапы отбора

1. Интервью с HR - 5–10 минут, телефон
2. Интервью с тимлидом - 60 минут, Google Meet
3. Финальное интервью - 60 минут, Google Meet

Советы кандидатам

• Изучи вакансию
• Подготовь место для интервью
• Будь честен
• Исследуй компанию
• Покажи свою компетентность

Создаем комфортные условия работы

• Соцпакет на выбор
• Прозрачный рост
• Программа релокации
• Обучение
• Корпоративная культура и тематические мероприятия
• Обмен знаниями
• Гибридный формат
• Пополнение личного кабинета
• Скидки

Откликнуться на вакансию

Оставь свои данные и резюме, и мы свяжемся с тобой

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Job description

Our Marketplace team builds the models and algorithms that balance supply and demand, optimising pricing and matching to ensure chauffeurs earn and passengers aren't left waiting. We’re looking for a Mid/Senior Backend Engineer to join a team that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery. We are a Go shop, and while we’re busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform. Our interview process includes a recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section and a structured review of past experience and achievements.

Responsibilities

• Write high-quality, performant code primarily in Go.
• Implement new microservices while helping us responsibly manage and migrate away from legacy services.
• Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs.
• Ensure our systems stay responsive under heavy load, optimising for both latency and reliability.

What you'll do

See responsibilities above.

Who you are

• 3+ years of experience (5+ years for seniors) building and maintaining scalable backend services.
• We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Java, Ruby, etc.). We hire for engineering fundamentals, not syntax.
• In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka.

Tech stack

Go, PostgreSQL, MongoDB, Redis, RabbitMQ, gRPC, Thrift; AWS, Kubernetes, Terraform; Ruby (legacy).

Team

Marketplace team focused on models and algorithms for supply-demand balance, pricing, and matching.

Requirements

• 3+ years of experience (5+ years for seniors) building and maintaining scalable backend services.
• Knowledge of relational and NoSQL databases and message brokers (PostgreSQL, MongoDB, Redis; RabbitMQ or Kafka).

Benefits and perks

• Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice
• Salary: £90,000 – £120,000
• Employee stock options plan
• Private medical and dental insurance
• Life and critical illness cover
• Latest-generation MacBook Pro and 4k display
• Monthly credit towards Wheely journeys
• Cycle to Work scheme
• Professional development stipend
• Relocation support, including visa sponsorship and allowance

What you'll need to know about the interview process

Recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section and a structured review of past experience and achievements.