data engineer

data scientist

senior machine learning engineer Jobs in Amsterdam

senior machine learning engineer

machine learning engineer Jobs in Amsterdam

machine learning engineer

data & ml infrastructure engineer Jobs in Amsterdam

data & ml infrastructure engineer

python data machine learning engineer

Picnic Technologies

<div>
 In a nutshell
 
 
 As a Machine Learning Engineer at Picnic, you will design and deploy intelligent systems to solve our company&rsquo;s biggest challenges. Beyond building models, you will productionize them with strong monitoring and seamless integration into operational systems. You will collaborate closely with stakeholders to ensure the right problems are solved and that solutions deliver real-world impact.
 
 
 All using high quality data. Our data is registered, logged, and consistent, enabling you to focus on building and improving models rather than cleaning data. This role combines the skills of a consultant, software engineer, and applied mathematician.
 
 
 Tricks of the trade
 
 
 You will definitely:
 
 
 <ul>
 <li>
 Identify and execute improvement possibilities together with other ML Engineers and (product) analysts
 </li>
 <li>
 Collaborate on your project from inception to production, to continuous improvement
 </li>
 <li>
 Develop tools and enhancements for our cloud-based Machine Learning platform
 
 
 
 </li>
 </ul>
 You could work on various projects and fields, such as:
 
 
 <ul>
 <li>
 Demand forecasting: delivery, article, trip volumes, used Picnic-wide
 </li>
 <li>
 Fraud detection: helping us keep troublemakers out of our store
 </li>
 <li>
 Recommendation systems: generating useful in-app grocery suggestions
 </li>
 <li>
 Search and ranking: helping our customers find exactly what they need
 </li>
 <li>
 Predicting delivery drop-off times: making sure we&rsquo;re on-time at every customer&rsquo;s door
 </li>
 <li>
 Vision: ensuring quality control and smooth operations within our warehouses
 
 
 
 </li>
 </ul>
 Check out some of our previous machine learning projects here: https://blog.picnic.nl/tagged/machine-learning
 
 
 We&rsquo;re looking for
 
 
 <ul>
 <li>
 Master&rsquo;s degree or higher in AI, Computer Science, Mathematics, or a related field
 </li>
 <li>
 5+ years of experience in data science or applied machine learning
 </li>
 <li>
 Excellent communication skills, you can clearly explain complex ideas in non-technical terms and enjoy working closely with business stakeholders to solve problems together
 </li>
 <li>
 Experienced in designing, deploying, and maintaining production ML systems, with solid software engineering and ML principles
 </li>
 <li>
 Strong Python and SQL skills
 </li>
 <li>
 Able to define the long-term vision and technical architecture for ML solutions within your domain
 </li>
 <li>
 Experience with Docker, Kubernetes, and CI is a plus
 
 
 
 </li>
 </ul>
 Picnic Perks
 
 
 
 🫱🏼&zwj;🫲🏾 Teamwork makes the dream work
 
 
 
 With more than 80 nationalities across 3 countries, you&rsquo;ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more!
 
 
 
 💡 Make a difference
 
 
 
 You&rsquo;ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you&rsquo;ll also be contributing to making the world a better place!
 
 
 
 🥗 Fresh Lunch, coffee, and snacks
 
 
 
 Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up.
 
 
 
 🚲 Health insurance discount &amp; bike plan
 
 
 
 We have a partnership with CZ (a health insurance provider). Picnic employees get a discount on CZ insurance packages between 5% and 15%. Furthermore, through our partnership with Lease a Bike, you can rent-to-own a new (e)bike at a discounted rate
 
 
 
 🌎 Relocation
 
 
 
 If you&rsquo;re moving from another country to join Picnic we make it as smooth as possible for you. We&rsquo;ll cover your flight costs for you and your partner and kids, your first month's rent and moving costs (up to &euro;2000), and help you with the 30% tax ruling setup and application.
 
 
 
 📆 All the rest
 
 
 
 At Picnic you get 25 holidays, we cover your travel expenses and offer a pension plan. And your phone and laptop are on us, as well.
</div>

Senior Machine Learning Engineer

IMC Trading

<div>
 As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement.
 
 
 This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC&rsquo;s technology and trading capabilities.
 
 
 
 Your Core Responsibilities
 
 
 
 <ul>
 <li>
 The opportunity to be in a brand new position in a growing team
 </li>
 <li>
 Develop large-scale distributed training pipelines to manage datasets and complex models
 </li>
 <li>
 Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems
 </li>
 <li>
 Develop libraries to improve the performance of machine learning frameworks
 </li>
 <li>
 Maximize performance in training and inference using GPU hardware and acceleration libraries
 </li>
 <li>
 Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions
 </li>
 <li>
 Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining
 </li>
 <li>
 Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs
 </li>
 <li>
 Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities
 </li>
 <li>
 Dig into the internals of open-source ML tools to extend their capabilities and improve performance
 
 
 </li>
 </ul>
 
 Your Skills And Experience
 
 
 
 <ul>
 <li>
 5+ years of experience in machine learning with a focus on training or inference systems
 </li>
 <li>
 Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus
 </li>
 <li>
 Strong engineering skills, including Python, CUDA, or C++
 </li>
 <li>
 Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX
 </li>
 <li>
 Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)
 </li>
 <li>
 Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)
 </li>
 <li>
 Exposure to cloud platforms and orchestration tools
 </li>
 <li>
 A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we&rsquo;ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
</div>

Machine Learning Engineer

SoTalent

<div>
 
 Data Scientist
 
 
 
 📍 Amsterdam, Netherlands | Hybrid/Flexible Working
 
 
 
 An exciting opportunity is available for a
 
 Data Scientist
 
 to develop production-ready machine learning, NLP, and Generative AI solutions that help transform complex scientific data into intelligent, real-world applications.
 
 
 Working within a collaborative, cross-functional environment, you'll design and deploy AI-powered solutions that improve knowledge discovery, information retrieval, semantic search, and decision support using large-scale scientific content and data.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Design, develop and deploy machine learning, NLP and Generative AI solutions for scientific discovery and intelligent content understanding.
 </li>
 <li>
 Build models supporting semantic search, information retrieval, recommendation systems, question answering, summarisation, entity extraction and content classification.
 </li>
 <li>
 Work with large-scale structured and unstructured datasets including scientific publications, research data, knowledge graphs, ontologies, metadata and citations.
 </li>
 <li>
 Apply a range of machine learning techniques including classification, regression, clustering, ranking, deep learning, embeddings, LLMs and retrieval-based methods.
 </li>
 <li>
 Fine-tune, evaluate and integrate AI models into scalable, production-ready systems.
 </li>
 <li>
 Develop clean, maintainable Python code and reusable data science components, pipelines and experimentation frameworks.
 </li>
 <li>
 Monitor model performance, detect drift, support automated retraining and continuously optimise deployed solutions.
 </li>
 <li>
 Partner closely with engineering, product, UX, analytics and domain experts to translate business challenges into measurable AI solutions.
 </li>
 <li>
 Communicate technical concepts, model performance and recommendations to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 Skills &amp; Experience
 
 <ul>
 <li>
 Experience in Data Science, Machine Learning, Artificial Intelligence, Natural Language Processing, Statistics, Computer Science or another quantitative discipline.
 </li>
 <li>
 Strong Python programming skills with experience writing clean, well-tested and maintainable code.
 </li>
 <li>
 Experience working with Large Language Models (LLMs), including platforms such as GPT, Claude or Gemini, with exposure to prompt engineering, fine-tuning or model integration.
 </li>
 <li>
 Solid understanding of supervised and unsupervised learning, feature engineering, model evaluation and performance optimisation.
 </li>
 <li>
 Experience working with large structured, semi-structured or unstructured datasets, particularly text-heavy datasets.
 </li>
 <li>
 Proficiency with modern machine learning libraries such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch or TensorFlow.
 </li>
 <li>
 Strong analytical thinking with the ability to solve complex problems and convert ambiguous requirements into practical solutions.
 </li>
 <li>
 Excellent communication and collaboration skills with experience working across multidisciplinary teams.
 </li>
 </ul>
 
 What's on Offer
 
 <ul>
 <li>
 Flexible working arrangements supporting work-life balance.
 </li>
 <li>
 Hybrid working environment.
 </li>
 <li>
 Wellbeing initiatives, parental leave, study assistance and sabbatical opportunities.
 </li>
 <li>
 The opportunity to work on cutting-edge AI, NLP and machine learning technologies.
 </li>
 <li>
 A collaborative, innovative environment where your work contributes to advancing scientific research and healthcare worldwide.
 </li>
 <li>
 Competitive salary and comprehensive benefits package.
 </li>
 </ul>
 
 If you're passionate about applying machine learning and Generative AI to solve meaningful real-world problems while working with large-scale scientific data, this is an excellent opportunity to make a significant impact.
 
</div>

Data Scientist

Xccelerated | Part of Xebia

<div>
 
 Data Engineer
 
 
 
 
 
 
 Location:
 
 Netherlands (hybrid)
 
 
 
 Language:
 
 English-speaking environment
 
 
 
 
 
 Are you a
 
 Data Engineer based in Europe
 
 who wants to take the next step in your career?
 
 
 Would you like to
 
 relocate to the Netherlands
 
 and work on a modern cloud-based data platform while accelerating your growth through structured, high-level training?
 
 
 
 
 
 At
 
 Xccelerated
 
 , we are looking for
 
 Medior Data Engineers
 
 to help build a
 
 state-of-the-art data platform on Google Cloud Platform (GCP)
 
 . You&rsquo;ll work alongside experienced consultants and follow an intensive training program designed to rapidly strengthen your technical and professional skills.
 
 
 
 
 
 💡 Why join Xccelerated?
 
 <ul>
 <li>
 Build a
 
 modern data platform from scratch
 
 on Google Cloud Platform
 </li>
 <li>
 Work on real client projects while continuously improving your skills
 </li>
 <li>
 Receive
 
 60+ days of structured technical training
 
 led by experienced Tech Leads
 </li>
 <li>
 Collaborate with international engineering and analytics teams
 </li>
 <li>
 After one year, transition to a
 
 direct contract with the client organization
 
 </li>
 </ul>
 
 
 
 
 🚀 Your role as a Data Engineer
 
 
 As a Data Engineer at Xccelerated, you will help lay the foundation for data-driven decision making.
 
 
 You will:
 
 <ul>
 <li>
 Design, build and maintain
 
 scalable data pipelines
 
 on GCP
 </li>
 <li>
 Develop components of a modern data platform supporting analytics and machine learning use cases
 </li>
 <li>
 Ensure reliable integration between data sources, pipelines and data models
 </li>
 <li>
 Work closely with engineering, analytics and cloud teams on architecture and implementation
 </li>
 <li>
 Continuously improve data quality, reliability and performance
 </li>
 </ul>
 
 
 
 
 👩 💻 Who we&rsquo;re looking for
 
 
 You&rsquo;re a hands-on engineer who enjoys learning by doing and working on meaningful data challenges.
 
 
 You bring:
 
 <ul>
 <li>
 A Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data, Cloud or a related field
 </li>
 <li>
 
 3&ndash;4 years of experience
 
 as a Data Engineer (or similar role)
 </li>
 <li>
 Strong skills in
 
 Python
 
 and
 
 SQL
 
 </li>
 <li>
 Experience with at least one public cloud:
 
 GCP, AWS or Azure
 
 </li>
 <li>
 Familiarity with modern data tools such as
 
 Spark, Databricks or Airflow
 
 </li>
 <li>
 A proactive mindset and willingness to
 
 relocate to the Netherlands
 
 </li>
 </ul>
 
 
 
 
 🎁 What we offer
 
 
 At Xccelerated, we offer more than just a job &mdash; we offer a
 
 career accelerator in Data &amp; Cloud
 
 .
 
 <ul>
 <li>
 Competitive salary based on experience
 </li>
 <li>
 
 Relocation support
 
 for candidates moving to the Netherlands
 </li>
 <li>
 25 vacation days
 </li>
 <li>
 Intensive onboarding with a hands-on technical bootcamp
 </li>
 <li>
 Weekly technical training, mentoring and innovation days
 </li>
 <li>
 Company laptop and modern tooling
 </li>
 <li>
 Great lunches, excellent coffee and a well-stocked snack bar
 </li>
 <li>
 Hybrid working model and an international team
 </li>
 </ul>
 
 
 
 
 🌍 About Xccelerated
 
 
 Xccelerated (part of the
 
 Xebia Group
 
 ) is a tech accelerator focused on developing the next generation of Data &amp; Cloud professionals.
 
 
 You&rsquo;ll work
 
 four days per week
 
 on real client projects and spend
 
 one day per week
 
 on structured training, coaching and innovation. After one year, you&rsquo;ll have the opportunity to join one of our partner companies directly.
 
 
 
 
 
 📩 Interested in relocating to the Netherlands?
 
 
 We&rsquo;d love to hear from you.
 
 
 📧 Contact:
 
 Samantha Goncalves
 
 &ndash; sgoncalves@xccelerated.io
 
 
 📞 Phone: +31 6 13889770
 
 
 
 
 
 📋 Application process
 
 <ol>
 <li>
 Introductory interview with one of our recruiters
 </li>
 <li>
 Technical assessment &amp; presentation with one of our Tech Leads (remote)
 </li>
 </ol>
 
 We aim to complete the process within
 
 1&ndash;3 weeks
 
 , depending on availability.
 
</div>

Data Engineer (Relocation to the Netherlands)

Group-IB

<div>
 Founded in 2003 and headquartered in Singapore, Group-IB is a leading creator of cybersecurity technologies to investigate, prevent, and fight digital crime. Combating cybercrime is in the company&rsquo;s DNA, shaping its technological capabilities to defend businesses, citizens, and support law enforcement operations.
 
 
 Group-IB&rsquo;s Digital Crime Resistance Centers (DCRCs) are located in the Middle East, Europe, Central Asia, and Asia-Pacific to help critically analyze and promptly mitigate regional and country-specific threats. These mission-critical units help Group-IB strengthen its contribution to global cybercrime prevention and continually expand its threat-hunting capabilities.
 
 
 
 About The Role
 
 
 
 In this role, you will be instrumental in the engineering and end-to-end development of analytical services designed to provide advanced fraud intelligence. You will leverage your experience in production-grade Python development to enhance our strategic fraud detection capabilities through the analysis of session and network data, development of sophisticated fraud detection logic, and implementation of predictive modeling and scoring methodologies across diverse web entities.
 
 
 
 YOUR MISSION
 
 
 
 <ul>
 <li>
 Execute data collection and analysis from disparate sources to establish and maintain robust ETL pipelines.
 </li>
 <li>
 Perform advanced research into methodologies for fraud mitigation and anomaly detection within transactional and sessional data environments.
 </li>
 <li>
 Develop and integrate machine learning models and mathematical algorithms into the Fraud Protection ecosystem.
 </li>
 <li>
 Engineer and validate AI Agents tailored for complex analytical operations.
 </li>
 <li>
 Analyze session and network data to develop sophisticated fraud detection logic.
 </li>
 <li>
 Implement predictive modeling and scoring methodologies across diverse web entities.
 </li>
 <li>
 Synthesize research findings into comprehensive documentation and formal presentations.
 
 
 </li>
 </ul>
 
 What We Are Looking For
 
 
 
 <ul>
 <li>
 Strong foundation in tabular data analysis.
 </li>
 <li>
 Experience writing production-ready, asynchronous Python code (Python 3.10+).
 </li>
 <li>
 Experience with Python data analysis and machine learning libraries, including pandas and scikit-learn.
 </li>
 <li>
 Proficiency with Git; experience with Docker is a plus.
 </li>
 <li>
 Proficiency in IDE and terminal-based development.
 </li>
 <li>
 Experience building ETL pipelines.
 </li>
 <li>
 Experience orchestrating AI coding agents efficiently.
 </li>
 <li>
 Research-oriented mindset.
 </li>
 <li>
 Database experience with Elasticsearch, Cassandra, or ClickHouse is highly preferred.
 
 
 </li>
 </ul>
 
 What Sets You Apart
 
 
 
 <ul>
 <li>
 Prior experience within the cybersecurity or anti-fraud sectors.
 </li>
 <li>
 Experience implementing AI agents end-to-end.
 </li>
 <li>
 Strong documentation and presentation skills.
 </li>
 <li>
 Experience working with Elasticsearch, Cassandra, or ClickHouse.
 </li>
 <li>
 Good understanding of networking concepts (hosting, VPN, etc.).
 </li>
 <li>
 Understanding of fraud prevention and network protection.
 
 
 </li>
 </ul>
 
 WHY CHOOSE GROUP-IB
 
 
 
 Group-IB is a global leader in cybersecurity technologies that investigate, predict, prevent, and fight digital crime. We help organizations reduce risk and protect trust. Trusted by governments, major industries, and law enforcement, we deliver adversary-focused, predictive threat intelligence and cyber fraud fusion solutions that detect, analyse, and mitigate regional and country-specific digital crimes.
 
 
 <ul>
 <li>
 Work with real stakes. Group-IB investigates active cybercriminal groups, responds to breaches affecting critical infrastructure, and develops technologies used by law enforcement agencies including INTERPOL, Europol, and Afripol across 60+ countries. We've conducted 1,550+ cybercrime investigations alongside 600+ enterprise customers globally. When you join Group-IB, your work directly disrupts digital crime.
 </li>
 <li>
 Grow your way. Choose your own path: deepen your craft as a technical expert, step into leadership, move across to another team, or relocate to one of our Digital Crime Resistance Centers across the Americas, Europe, the Middle East &amp; Africa, Central Asia, and the Asia-Pacific. Your growth is our growth &mdash; Group-IB's expansion across 60+ active country operations means real career acceleration.
 </li>
 <li>
 We fund professional certifications at company expense &mdash; whether you're pursuing CEH, CISSP, OSCP, or specialized certifications in forensics and penetration testing. You don't have to choose between doing the job and advancing your credentials.
 </li>
 <li>
 Work alongside industry leaders. Our Unified Risk Platform &mdash; Threat Intelligence, Digital Risk Protection, Attack Surface Management, Managed XDR, and more &mdash; is recognized by Gartner, Forrester, KuppingerCole, and Datos Insights. Frost &amp; Sullivan named us a 2025 Global Technology Innovation Leader. When you work here, you're building technologies that set the industry standard.
 </li>
 <li>
 Real challenges, real expertise. You'll take on complex, real-world problems alongside adversary-centric researchers and incident response experts spread across six continents. We've built 21+ years of proprietary telemetry through 1,500+ joint investigations. No two threats look alike &mdash; and neither do the skills you'll develop.
 </li>
 <li>
 A team that is genuinely international. Our people come from different countries, speak different languages, and bring different perspectives. What connects us is a shared mission: fighting cybercrime and making the world safer. We care about your wellbeing and happiness as much as your output.
 </li>
 </ul>
</div>

Optics11

<div>
 We are expanding our team with a
 
 Data &amp; ML Infrastructure Engineer
 
 who will take ownership of the platform that enables data ingestion, processing, storage, and machine learning workflows across multiple products. Operating at the intersection of data science, software engineering, and cloud infrastructure, you will build the foundations and ensure that our ML systems are scalable, reproducible, and production ready.
 
 
 In this role, you will design, implement, and continuously improve a cloud-agnostic data and ML platform that supports multiple products and teams. You will be responsible for platform reliability, scalability, and cost-efficiency, while providing data scientists and ML engineers with the tools and infrastructure to efficiently develop, train, validate, and deploy machine learning models. You will serve as a technical bridge between the data science and IT/infrastructure teams, translating requirements into robust and maintainable systems.
 
 
 This role includes ownership of an existing vendor-delivered platform and its evolution into a fully automated, reproducible, and multi-product ML platform.
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, implement, and maintain the data and ML platform infrastructure, including systems for data ingestion, storage, processing, and training.
 </li>
 <li>
 Ensure high availability, reliability, and uptime of the platform, as it is critical to the business value proposition.
 </li>
 <li>
 Maintain and evolve vendor-delivered platform components and ensure long-term maintainability and independence.
 </li>
 <li>
 Build and maintain data workflows, including tools for dataset versioning, experiment tracking, and model lifecycle management across multiple products.
 </li>
 <li>
 Enforce DevOps / MLOps practices, including CI/CD pipelines, Infrastructure-as-Code, and automated workflows.
 </li>
 <li>
 Develop cloud-agnostic and containerized solutions that can run across public and private cloud environments within EU constraints.
 </li>
 <li>
 Optimize data storage, lifecycle policies, and cost efficiency, including tiered storage and retention strategies.
 </li>
 <li>
 Implement and maintain monitoring and alerting systems (e.g., Prometheus, Grafana) for pipelines, infrastructure, and resource usage.
 </li>
 <li>
 Ensure data governance, security, and compliance, including access control, audit logging, and anonymization requirements.
 </li>
 <li>
 Collaborate closely with data scientists, ML engineers, and IT teams to deliver infrastructure that meets operational needs.
 </li>
 <li>
 Manage resource and cost controls, including budgets, approvals, and tracking.
 </li>
 <li>
 Contribute to documentation, operational runbooks, and onboarding materials for the platform.
 
 
 
 </li>
 </ul>
 
 Why Join Us?
 
 
 
 <ul>
 <li>
 Join one of Europe&rsquo;s most promising deep-tech scale-ups.
 </li>
 <li>
 Shape the future of a rapidly growing multidisciplinary R&amp;D organization.
 </li>
 <li>
 Competitive salary and benefits package.
 </li>
 <li>
 Enjoy regular team activities and company events.
 </li>
 <li>
 Fresh team lunches provided3 times/ week.
 
 
 
 </li>
 </ul>
 Required Qualifications:
 
 
 <ul>
 <li>
 MSc or equivalent with 5+ years&rsquo; industry experience in Computer Science, Data Engineering, Machine Learning, or a related field.
 </li>
 <li>
 Strong experience with data platforms, cloud infrastructure, and distributed systems (AWS, GCP, Azure).
 </li>
 <li>
 Proven experience with Infrastructure-as-Code (e.g., Terraform) and automated deployments.
 </li>
 <li>
 Experience with ML platforms and tools (MLflow, Feast, DVC, DataHub or equivalent).
 </li>
 <li>
 Experience with AWS Sagemaker or Google Vertex AI platforms.
 </li>
 <li>
 Experience with databases (MongoDB, PostgreSQL, InfluxDB or equivalent).
 </li>
 <li>
 Experience with message brokers and streaming systems (Kafka, RabbitMQ or equivalent).
 </li>
 <li>
 Hands-on experience with containerization (Docker/OCI) and orchestration (Kubernetes or similar).
 </li>
 <li>
 Experience with CI/CD systems (e.g., GitLab CI).
 </li>
 <li>
 Programming skills in Python.
 </li>
 <li>
 Experience with monitoring and observability tools (Prometheus, Grafana).
 </li>
 <li>
 Understanding of DevOps and MLOps practices.
 </li>
 <li>
 Ability to work across teams and translate requirements into scalable infrastructure solutions.
 
 
 
 </li>
 </ul>
 
 Nice to Have:
 
 
 
 <ul>
 <li>
 Knowledge of data governance, IAM, and security frameworks.
 </li>
 <li>
 Experience with cost optimization and resource management in cloud environments.
 </li>
 <li>
 Familiarity with multi-tenant or multi-product platform architectures.
 </li>
 <li>
 Experience working with EU data compliance constraints in energy, maritime or defense.
 
 
 
 </li>
 </ul>
 
 Security &amp; Compliance:
 
 
 
 You'll be working with clients in the defense and security sectors, obtaining a Certificate of No Objection issued by the AIVD (Dutch General Intelligence and Security Service) is mandatory. This means you will need to undergo a security screening. For more information, please refer to details on security screening.
</div>

Data & ML Infrastructure Engineer

<div>We are expanding our team with a Data &amp; ML Infrastructure Engineer who will take ownership of the platform that enables data ingestion, processing, storage, and machine learning workflows across multiple products. Operating at the intersection of data science, software engineering, and cloud infrastructure, you will build the foundations and ensure that our ML systems are scalable, reproducible, and production ready.
In this role, you will design, implement, and continuously improve a cloud-agnostic data and ML platform that supports multiple products and teams. You will be responsible for platform reliability, scalability, and cost-efficiency, while providing data scientists and ML engineers with the tools and infrastructure to efficiently develop, train, validate, and deploy machine learning models. You will serve as a technical bridge between the data science and IT/infrastructure teams, translating requirements into robust and maintainable systems.
This role includes ownership of an existing vendor-delivered platform and its evolution into a fully automated, reproducible, and multi-product ML platform.<h4 class="jobSectionHeader">
Key Responsibilities:</h4><ul><li>
Design, implement, and maintain the data and ML platform infrastructure, including systems for data ingestion, storage, processing, and training.</li><li>
Ensure high availability, reliability, and uptime of the platform, as it is critical to the business value proposition.</li><li>
Maintain and evolve vendor-delivered platform components and ensure long-term maintainability and independence.</li><li>
Build and maintain data workflows, including tools for dataset versioning, experiment tracking, and model lifecycle management across multiple products.</li><li>
Enforce DevOps / MLOps practices, including CI/CD pipelines, Infrastructure-as-Code, and automated workflows.</li><li>
Develop cloud-agnostic and containerized solutions that can run across public and private cloud environments within EU constraints.</li><li>
Optimize data storage, lifecycle policies, and cost efficiency, including tiered storage and retention strategies.</li><li>
Implement and maintain monitoring and alerting systems (e.g., Prometheus, Grafana) for pipelines, infrastructure, and resource usage.</li><li>
Ensure data governance, security, and compliance, including access control, audit logging, and anonymization requirements.</li><li>
Collaborate closely with data scientists, ML engineers, and IT teams to deliver infrastructure that meets operational needs.</li><li>
Manage resource and cost controls, including budgets, approvals, and tracking.</li><li>
Contribute to documentation, operational runbooks, and onboarding materials for the platform.</li></ul><h4 class="jobSectionHeader">
Why Join Us?</h4><ul><li>
Join one of Europe&rsquo;s most promising deep-tech scale-ups.</li><li>
Shape the future of a rapidly growing multidisciplinary R&amp;D organization.</li><li>
Competitive salary and benefits package.</li><li>
Enjoy regular team activities and company events.</li><li>
Fresh team lunches provided3 times/ week.</li></ul><h4 class="jobSectionHeader"> 
Required Qualifications:</h4><ul><li>
MSc or equivalent with 5+ years&rsquo; industry experience in Computer Science, Data Engineering, Machine Learning, or a related field.</li><li>
Strong experience with data platforms, cloud infrastructure, and distributed systems (AWS, GCP, Azure).</li><li>
Proven experience with Infrastructure-as-Code (e.g., Terraform) and automated deployments.</li><li>
Experience with ML platforms and tools (MLflow, Feast, DVC, DataHub or equivalent).</li><li>
Experience with AWS Sagemaker or Google Vertex AI platforms.</li><li>
Experience with databases (MongoDB, PostgreSQL, InfluxDB or equivalent).</li><li>
Experience with message brokers and streaming systems (Kafka, RabbitMQ or equivalent).</li><li>
Hands-on experience with containerization (Docker/OCI) and orchestration (Kubernetes or similar).</li><li>
Experience with CI/CD systems (e.g., GitLab CI).</li><li>
Programming skills in Python.</li><li>
Experience with monitoring and observability tools (Prometheus, Grafana).</li><li>
Understanding of DevOps and MLOps practices.</li><li>
Ability to work across teams and translate requirements into scalable infrastructure solutions.</li></ul>
Nice to Have:<ul><li>
Knowledge of data governance, IAM, and security frameworks.</li><li>
Experience with cost optimization and resource management in cloud environments.</li><li>
Familiarity with multi-tenant or multi-product platform architectures.</li><li>
Experience working with EU data compliance constraints in energy, maritime or defense.</li></ul>
Security &amp; Compliance:
You'll be working with clients in the defense and security sectors, obtaining a Certificate of No Objection issued by the AIVD (Dutch General Intelligence and Security Service) is mandatory. This means you will need to undergo a security screening. For more information, please refer to details on security screening.</div>

Explore 51+ Python data machine learning engineer in Amsterdam this July. Find roles across top companies and apply now to boost your career.

51 python data machine learning engineer jobs In Amsterdam

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