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data & ml infrastructure engineer Jobs in Amsterdam

data & ml infrastructure engineer

data scientist - ai strategy team Jobs in Amsterdam

data scientist - ai strategy team

senior data engineer

data scientist ai

Levy Professionals

<div>ABOUT YOU

You are a Data Scientist with a passion for Generative AI and a strong engineering mindset. You enjoy turning business challenges into scalable AI solutions and thrive in collaborative environments where innovation, ownership, and continuous learning are encouraged. You are comfortable working across the full lifecycle of AI products, from experimentation and model development through to deployment and production support, while keeping business impact at the centre of your work.

WHAT ARE YOU GOING TO DO
<ul><li>Design, build, test, deploy, and maintain scalable Generative AI solutions in production environments</li><li>Work closely with business stakeholders to understand challenges and translate them into impactful AI-driven solutions</li><li>Develop reusable GenAI components and contribute to the adoption of AI capabilities across multiple business domains</li><li>Collaborate with engineers, product specialists, and fellow data scientists to deliver high-quality and responsible AI applications</li><li>Contribute to MLOps, LLMOps, automation, monitoring, and continuous improvement of AI solutions</li></ul>

AN IDEAL PROFILE WOULD BE
<ul><li>5+ years of experience as a Data Scientist or in a similar role with strong Python development skills</li><li>Experience with NLP, LLMs, Generative AI applications, and model development, deployment, and monitoring</li><li>Strong engineering capabilities including Git, CI/CD, APIs, cloud platforms, containerisation, ETL processes, and database technologies</li><li>Experience working with MLOps, LLMOps, DevOps, and cloud-based production environments such as Azure</li><li>Strong communication skills with the ability to collaborate across technical and non-technical stakeholders while coaching and sharing knowledge with others</li></ul>

Contract Duration: Until December 2026, possibility for an extension

Work Model: Hybrid (2 days in office)

Sponsorship: Yes

Open to ZZP as well.

Tick all the boxes? Then smash that button and let&rsquo;s have a chat.

ABOUT US: 
Levy is an international IT staffing organization providing recruitment and project resourcing services to companies ranging from start-ups to well established global players across the UK, Holland, Germany, Belgium, and the USA. By partnering with our clients, we provide tailored interim and permanent IT staffing solutions to help them deliver their initiatives across applications and infrastructure, touching areas such as Digital, Data, Cloud, Cybersecurity and ERP.</div>

Data Scientist (Agentic AI)

Promptwatch

<div>
 Data Scientist
 
 
 Amsterdam
 
 Full-time
 
 Medior-Senior (4+ YOE)
 
 &euro;60,000 - &euro;85,000
 
 
 Promptwatch sits on one of the richest datasets in AI Search: real AI responses across ChatGPT, Claude, Gemini, and Perplexity, combined with billions of crawler logs and clicks. We ingest around 2,000 events per second of crawler logs, CDN data, and clickstream data, on top of huge volumes of unstructured AI response text. As a Data Scientist, you'll turn this data into the metrics, models, and insights that define how agentic AI Search is measured and improved.
 
 
 This is a high-impact, hands-on role. You'll work closely with Product and Engineering to design visibility and sentiment metrics, surface trends across millions of AI answers, and build the analytical foundation that our customers and our public research rely on. Working with large amounts of unstructured data, vector search, and embeddings is at the heart of the role.
 
 
 What You'll Do:
 
 
 Design and refine metrics for brand visibility, citations, and sentiment across AI assistants
 
 Analyze large-scale, high-velocity datasets (~2,000 events/second of crawler logs, CDN, and clickstream data) to surface actionable trends
 
 Make sense of large amounts of unstructured AI response text using embeddings and vector search
 
 Build statistical and ML models to detect patterns in how AI systems retrieve, rank, and cite content
 
 Develop reproducible analyses and pipelines that scale with our growing dataset
 
 Produce public-facing research and reports that establish Promptwatch as a thought leader in AI search space.
 
 Validate data quality and define methodologies that customers can trust
 
 What
 
 
 We're Looking For:
 
 
 4+ years experience in data science, analytics, or a quantitative research role
 
 Strong proficiency in Python and SQL for data analysis
 
 Solid foundation in statistics, experimentation, and ML fundamentals
 
 Experience working with large, messy, real-world datasets, including high volumes of unstructured text
 
 Hands-on experience with vector search and embeddings
 
 Ability to translate ambiguous questions into clear, measurable analyses
 
 Strong communication skills to present findings to technical and non-technical audiences
 
 Curious and excited about AI, search, and emerging buyer behavior
 
 Familiarity with data warehouses and analytics tooling (e.g. BigQuery, Tinybird/ClickHouse, Elasticsearch)
 
 
 Nice to Have:
 
 
 Experience with NLP or working with LLM outputs
 
 Background in SEO, search, or marketing analytics
 
 Experience building data visualizations or dashboards
 
 
 Compensation
 
 Salary: &euro;60,000 - &euro;85,000 (depending on experience)
 
 
 Perks: Great office location, team off-sites, company and team sports activities
</div>

Data Scientist

Databricks

<div>REQ ID: CSQ427R209
 
 
Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further.
As Manager, Forward Deployed Engineering, you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks' most strategic enterprise customers, you will shape how leading organizations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments.
As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernization programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact.
<h2 class="jobSectionHeader">The impact you will have:</h2>
<ul><li>Oversee regional performance targets including billable utilization, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio.</li>
<li>Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics.</li>
<li>Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification.</li>
<li>Synthesize field insights from your team&rsquo;s engagements to provide direct feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks.</li>
<li>Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution.</li>
<li>Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth.</li>
</ul><h2 class="jobSectionHeader">What we look for:</h2>
<ul><li>4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organizations with a proven track record of building excellence-driven cultures.</li>
<li>5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners.</li>
<li>Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Manufacturing, Finance, Healthcare, Retail, Telco, or Energy.</li>
<li>Strong understanding of technical project delivery, including managing scope, timelines, statements of work (SOWs), and professional services delivery metrics.</li>
<li>Strong stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level.</li>
<li>Familiarity with Databricks, Apache Spark&trade;, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued.</li>
<li>Ability to travel to customer sites and Databricks offices approximately 20% of the time.</li>
</ul><div>About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Manager, Forward Deployed Engineering

Alignerr

<div>
 
 About The Role
 
 
 
 What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in Amsterdam and across the Netherlands to evaluate AI-generated machine learning solutions &mdash; catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
 
 
 This is a fully remote, flexible contract role. Work asynchronously on your own schedule, from wherever you are. No fixed hours, no meetings &mdash; just high-impact, expert work that matters.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote (Netherlands)
 </li>
 <li>
 Commitment: Flexible, project-based
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review and evaluate AI-generated machine learning code &mdash; including Python, TensorFlow, PyTorch, and scikit-learn &mdash; for correctness, efficiency, scalability, and clarity
 </li>
 <li>
 Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
 </li>
 <li>
 Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
 </li>
 <li>
 Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
 </li>
 <li>
 Help set the quality bar for how AI understands and produces machine learning code
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Deeply fluent in machine learning &mdash; you know your way around model development, data preprocessing, training pipelines, and deployment
 </li>
 <li>
 Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
 </li>
 <li>
 Strong written communicator &mdash; able to explain complex ML concepts clearly and precisely
 </li>
 <li>
 Detail-oriented and rigorous &mdash; you catch what others miss and care about getting things right
 </li>
 <li>
 Self-motivated and comfortable working independently in an async environment
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 3&ndash;5+ years working on machine learning projects, pipelines, or MLOps
 </li>
 <li>
 Experience with model evaluation, cloud deployment, or production ML systems
 </li>
 <li>
 Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
 </li>
 <li>
 Background in data labeling, RLHF, or other AI training workflows
 </li>
 <li>
 Prior experience with code review or technical writing
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs and top AI teams
 </li>
 <li>
 Fully remote and async &mdash; work when and where it suits you, with no minimum hour commitments beyond project needs
 </li>
 <li>
 Freelance autonomy with the structure of meaningful, task-based work
 </li>
 <li>
 Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
 </li>
 <li>
 High-performing contributors take on expanded responsibilities and lead new programs
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

Software Engineer – Machine Learning (AI Training)

Devoteam

<div>Bedrijfsomschrijving 
Who are we?
We are Devoteam, an AI-driven tech consultancy with more than 11,000 tech experts spread across 25 countries in Europe and the Middle East. At Devoteam, we strongly believe in the power of technology, with AI at the heart of our approach. We partner with leading providers such as Google, Microsoft, AWS, and ServiceNow. In the Netherlands, we have around 300 experts and specialize in Cloud, Cyber, Data, and AI.
With us, you become part of a group of Tech Enthusiasts in a culture where making mistakes is allowed and where everyone&mdash;from bright young talents to experienced rockstars&mdash;is encouraged to continuously innovate and grow. We are a community that is proud of who you are and helps you get the best out of yourself. We are allergic to unnecessary hierarchies and excessive processes. At Devoteam, the only constant is 'change'. 
Vacatureomschrijving 
We are seeking a talented and passionate Databricks Data Engineer to join our expanding Microsoft Databricks team. In this role, you will be a crucial player in designing, building, and maintaining cutting-edge data solutions on the Databricks platform. You will have the opportunity to work with a variety of clients across different industries, collaborating with both internal teams and client stakeholders to deliver high-quality data pipelines and enable data-driven decision-making.
Responsibilities:<ul><li>
Data Pipeline Engineering: Design, develop, and deploy robust and scalable data pipelines using Databricks, incorporating data extraction from diverse sources (databases, APIs, streaming platforms), transformation and cleansing using Spark, and loading into target systems (data lakes, data warehouses, etc.). Optimize pipeline performance for efficiency and cost-effectiveness.</li><li>
Databricks Ecosystem Expertise: Utilize the full capabilities of the Databricks platform, including Databricks SQL, Delta Lake, Databricks Runtime, and Databricks Workflows, to orchestrate complex data workflows and ensure data quality and pipeline reliability.</li><li>
Cloud Integration: Seamlessly integrate Databricks with cloud services (Azure, AWS, or GCP) for storage, compute, and security, leveraging services like Azure Data Lake Storage, AWS S3, Google Cloud Storage, and more.</li><li>
Data Architecture and Modeling: Contribute to the design and implementation of robust data models and architectures for data lakes and data warehouses, ensuring data consistency, integrity, and accessibility for various use cases.</li><li>
Data Quality Assurance: Implement rigorous data quality checks and validation procedures throughout the data pipeline to maintain high accuracy and reliability. Adhere to data governance policies and best practices.</li><li>
Collaboration and Communication: Work closely with data scientists, analysts, business intelligence specialists, and business stakeholders to understand their data requirements and provide technical expertise on Databricks and data engineering best practices.</li><li>
Continuous Learning: Stay up to date with the latest Databricks features, cloud technologies, and data engineering trends to continuously improve our solutions and deliver innovative results for our clients.</li></ul> 
Functie-eisen<ul><li> 
Hold a University Degree in Computer Science, (Business) Engineering, or a specialized master's in Machine Learning or AI.</li><li>
Proven Experience: 2+ years of experience as a Data Engineer with demonstrated expertise in Databricks.</li><li>
Cloud Proficiency: Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP), with a good understanding of cloud data services and infrastructure.</li><li>
Programming Skills: Strong programming skills in Python or Scala, with experience in data manipulation libraries (e.g., PySpark, Spark SQL).</li><li>
Data Fundamentals: Solid understanding of data warehousing principles, ETL processes, data modeling techniques, and database systems.</li><li>
SQL Expertise: Advanced SQL skills for data querying, transformation, and analysis.</li><li>
Communication Skills: Excellent communication and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders.</li><li>
Problem-Solving: Strong analytical and problem-solving abilities, with a proactive approach to identifying and resolving data-related challenges.</li><li>
Proficiency in Dutch is a big plus.</li></ul> 
Aanvullende informatie 
At Devoteam, we invest in our people. Our benefits package includes:<ul><li>
Excellent primary and secondary employment benefits (excellent salary, bonus, lease car, laptop, phone, etc.).</li><li>
A personalized career development plan with specific training and certifications tailored to your field.</li><li>
Every opportunity to grow as a thought leader through knowledge sharing, blogs, and keynote sessions.</li><li>
The unique option to work from within Europe for 4 weeks per year.</li><li>
A vibrant internal community with knowledge sessions, ranging from bi-weekly Tech Thursdays to KISSes (Knowledge &amp; Information Sharing Sessions).</li></ul>
We look forward to welcoming you into our open and accessible culture! Are you ready for your next challenge? Apply today!
Questions? Please contact Casper Posch at nl.recruitment@devoteam.nl.</div>

Databricks Data Engineer

<div>
 
 About The Role
 
 
 
 What if your deep expertise in TypeScript could directly influence how AI writes code for millions of developers around the world? We're looking for experienced Frontend TypeScript Engineers in Amsterdam and across the Netherlands to review, evaluate, and guide AI-generated code &mdash; helping cutting-edge AI models understand what truly type-safe, scalable, and modern web development looks like.
 
 
 This is a fully remote, flexible contract role. You'll work alongside leading AI research teams, applying your real-world frontend knowledge to tasks that have a lasting impact on how AI understands and produces TypeScript code.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review AI-generated TypeScript code for strict type safety, accurate interface design, and correct generic usage
 </li>
 <li>
 Develop complex, type-safe frontend components that demonstrate best practices in modern web architecture
 </li>
 <li>
 Provide detailed technical commentary on architectural decisions and type-driven development strategies
 </li>
 <li>
 Identify and flag ambiguities or errors in AI responses related to complex type definitions and asynchronous frontend patterns
 </li>
 <li>
 Work independently and asynchronously &mdash; fully on your own schedule
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Deep expertise in TypeScript &mdash; including static typing, generics, interfaces, and utility types
 </li>
 <li>
 3&ndash;5 years of hands-on experience with modern frontend or full-stack frameworks such as React, Angular, Next.js, Nuxt.js, or Node.js
 </li>
 <li>
 Strong written and verbal communicator who can clearly articulate technical reasoning
 </li>
 <li>
 Naturally detail-oriented with a high standard for code quality and correctness
 </li>
 <li>
 Bachelor's degree or higher in Computer Science or a related field preferred
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with data annotation, model evaluation, or AI training workflows
 </li>
 <li>
 Familiarity with full-stack TypeScript patterns and performance optimization
 </li>
 <li>
 Background in code review, technical writing, or engineering mentorship
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs
 </li>
 <li>
 Fully remote and flexible &mdash; work when and where it suits you
 </li>
 <li>
 Freelance autonomy with the structure of meaningful, task-based work
 </li>
 <li>
 Make a direct, tangible impact on how AI understands and writes modern TypeScript
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

Frontend TypeScript Engineer (AI Training)

<div>Company Description 
Sia is a next-generation, global management consulting group born digital, augmented by data, enhanced by creativity, and driven by responsibility. We partner with clients to resolve challenges and capitalize on opportunities. We believe that in today&rsquo;s world of change and disruption, optimism is a force multiplier. 
Job Description 
The Amsterdam Data Science team is diverse, dynamic, and rapidly growing. You will collaborate closely within multidisciplinary teams, applying advanced analytics and machine learning techniques to solve complex business problems and deliver impactful solutions. Our flat structure encourages initiative, entrepreneurial spirit, diversity, well-being, and knowledge sharing so that we grow together.
Responsibilities
As a Data Science Consultant, you will collaborate with our Data Scientists, Data Engineers, and Consultants on various client projects in multidisciplinary teams. You will use advanced analytics, machine learning, and GenAI techniques to solve complex business problems and deliver impactful solutions.
Responsibilities include:<ul><li>
Collaborate with colleagues to identify business challenges and extract actionable insights from data.</li><li>
Develop and implement statistical models, optimization solutions, and advanced machine learning techniques.</li><li>
Apply Generative AI and large language models to create innovative solutions.</li><li>
Clearly present analytical results and assist in facilitating client workshops.</li></ul>
Your profile<ul><li>
Motivated, analytical, and eager to learn.</li><li>
Thrive in collaborative, multidisciplinary environments.</li><li>
Clear communicator, comfortable translating complex technical concepts into actionable recommendations.</li></ul> 
Qualifications<ul><li> 
Completed WO Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, (Energy) Engineering, or a related technical field involving substantial programming.</li><li>
1 to 3 years of relevant professional experience.</li></ul><ul><li>
Strong coding skills in Python and at least one additional analytical language (e.g., R, SQL).</li><li>
You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you&rsquo;re excited about helping our clients seize the opportunities they offer.</li><li>
Solid knowledge of Machine Learning techniques, optimization methods, and Generative AI.</li><li>
Previous exposure or interest in cloud platforms (AWS, Azure, GCP) is a plus.</li><li>
Fluent in English and Dutch, both written and oral. Additional languages are considered advantageous.</li></ul>
What we offer<ul><li>
Training and development opportunities to advance your expertise.</li><li>
A supportive environment with structured mentorship and personalized training opportunities.</li><li>
Opportunities to participate in international projects.</li><li>
Flexible working hours and performance-based promotion.</li><li>
Competitive salary, bonus, and benefits package (health insurance, pension).</li></ul> 
Additional Information 
We are unable to provide a work permit for this position.
Non-Dutch speakers will unfortunately not be accepted.
Sia is an equal opportunity employer. Employment decisions&mdash;including hiring, promotion, remuneration, or disciplinary actions&mdash;are based solely on performance, competence, conduct, and business needs.<div></div>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</div>

Data Science Consultant

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