Top Machine Learning Jobs in the Netherlands

Collaborate with data scientists, engineers, and consultants on client projects. Apply statistical modeling, optimization, machine learning, and generative AI techniques to solve business problems, extract actionable insights, and develop innovative solutions. Present analytical findings, support client workshops, and translate complex technical concepts into recommendations. The role requires strong programming, analytical communication, and collaboration skills.

Build and maintain cloud-based data and machine learning infrastructure for client projects and internal AI solutions. Responsibilities include cloud architecture, storage and compute optimization, containerization with Docker and Kubernetes, Python development, CI/CD automation, ETL pipelines, Infrastructure as Code, application security, and ML platform enablement. The role also involves consulting with clients, supporting deployments, and contributing to the growth of the data engineering team.

Lead the development of AI products and production-grade machine learning solutions for internal and client projects. Design cloud architectures, scale data science models into production, optimize and test ML pipelines, mentor engineers, and contribute to training, events, publications, and client workshops. The role combines technical leadership, consulting, software engineering, and collaboration across international data teams.

Analyze complex business problems using statistical and analytical methods, extract actionable insights from data, and translate advanced analytics into business impact. Collaborate with data scientists, data engineers, and consultants on client projects, while presenting findings and conducting customer workshops. The role requires strong quantitative problem-solving, communication, Python and analytical language skills, data visualization experience, and fluency in English and Dutch.

Develop complex machine learning, statistical, optimization, simulation, and big data models for consulting clients. Lead end-to-end projects, manage client relationships, contribute to proposals and business development, publish thought leadership, and supervise and mentor junior consultants. The role requires strong data science expertise, analytical and communication skills, English and Dutch fluency, and the ability to work across sectors including energy and finance.

Lead client engagements involving advanced analytics and Generative AI, from strategy through execution. Develop predictive, explanatory, econometric, optimization, and time-series models; oversee LLM projects; advise senior stakeholders; and guide multidisciplinary teams. Responsibilities also include mentoring colleagues, contributing to internal training and thought leadership, supporting proposals and business development, and developing client relationships.

Two-year technology graduate scheme with three rotations across technology strategy, AI and data analytics, networks and capital allocation, and service platforms. Participants gain experience in technology operations, strategic initiatives, project management, emerging technology evaluation, data, AI-enabled solutions, software development, and automation. The programme includes structured learning, impactful projects, and potential international rotation opportunities.

Leads machine learning engineering and AI product development across internal and client projects. Responsibilities include designing cloud architectures, building production-grade ML solutions, scaling data science models, mentoring engineers, leading teams, delivering training, and representing the organization through workshops, conferences, blogs, and events. Requires strong software engineering, cloud, DevOps, big data, communication, consulting, and bilingual English-Dutch capabilities.

Collaborate with data scientists, engineers, and consultants on client projects. Apply statistical modeling, optimization, machine learning, Generative AI, and large language models to solve business problems. Extract actionable insights, present analytical findings, and support client workshops. The role requires strong programming, analytical communication, and fluency in English and Dutch.

Lead client engagements involving advanced analytics, predictive modeling, econometrics, optimization, time-series forecasting, Generative AI, and large language models. Advise senior stakeholders, manage multidisciplinary teams, mentor colleagues, develop consulting offerings, contribute to thought leadership, and support business development through proposals and client relationship building.

Leads Vanderlande’s AI and data strategy for Technology, transforming the end-to-end engineering lifecycle through AI-enabled workflows, data products, automation, and reusable engineering capabilities. Owns the portfolio and roadmap, develops the Engineering Configurator, establishes fusion teams, builds organizational AI capability, and ensures responsible AI governance. Success is measured through improved engineering throughput, quality, adoption, reuse, and time to market.

Analyze semiconductor measurement data, run and adapt algorithmic workflows, process large datasets on HPC systems, prototype solutions, validate physical results, and provide technical input to customer applications. The role collaborates closely with algorithm and software teams, requires hands-on Python development and occasional international travel to customer sites.

Develop and validate algorithms for semiconductor metrology, including parameter estimation, physical measurement modeling, numerical optimization, and machine learning. Build production-ready Python code, validate algorithms against noisy real-world data, analyze failure modes, and scale computations across HPC infrastructure. Collaborate with software developers to deploy maintainable algorithms. Preferred experience includes physical modeling, simulation, GPU or parallel computing, CI pipelines, MLOps, and reproducible research workflows.

Build Solidgate’s ML/AI function from the ground up, developing real-time payment routing models and production pipelines. Own the full ML lifecycle from experimentation and A/B testing through deployment, while solving modeling challenges involving large-scale transactional data. Partner with Product, Engineering, and Data Platform teams to deliver measurable improvements in conversion, approval rates, losses, and revenue.

Leads an international Risk Analytics team focused on credit risk, fraud, solvency, pricing, and risk decisioning. Drives data analysis, monitoring, reporting, process improvements, and advanced analytics, including machine-learning models. Collaborates cross-functionally with Risk, Data Science, Pricing, Finance, Sales, and Operations teams while owning risk-steering analytics projects and implementation.

Lead an international Risk Analytics team focused on credit risk, fraud, solvency, and risk decisioning. Drive data-driven risk strategies, monitoring, reporting, process improvements, pricing insights, and advanced analytics initiatives. Enable machine-learning models, collaborate cross-functionally with Risk, Data Science, Pricing, Finance, Sales, and Operations teams, and represent Risk Analytics in strategic projects.

Manage a portfolio of executive member relationships, assess CIO priorities, and develop customized service plans using Gartner Executive Programs offerings. Deliver on-site and virtual briefings, workshops, analyst visits, roundtables, webinars, and event presentations. Partner with Sales to drive member engagement and renewals. The role requires extensive CIO-level technology expertise, experience leading major transformation programs, multilingual fluency in English, French, and Dutch, and demonstrated CXO-level sales or business development experience.

Leads the development of AI-powered developer productivity tools and shared ML capabilities across the software development lifecycle. Responsibilities include evaluating AI tooling, building RAG and agent systems, implementing MCP integrations, developing ML CI/CD infrastructure, defining productivity metrics, ensuring AI governance and security compliance, creating reusable prompts, and training engineering teams. The role requires hands-on technical leadership, strong MLOps expertise, production ML experience, and the ability to drive adoption across distributed teams.

Lead discovery, validation, and scaling of AI-enabled products, services, and workflow transformations. Prioritize opportunities, investigate client and business challenges, guide solution concepts, and collaborate with multidisciplinary teams on prototypes and pilots. Establish success measures, implementation plans, ownership, adoption, and go-to-market strategies while aligning business, technology, domain, and leadership stakeholders.

Own the vision, strategy, and roadmap for AI-powered editorial decision-support products used after peer review. Lead cross-functional agile delivery, partner with scientific editors and data scientists, evaluate AI capabilities, define success metrics, and balance user, technical, commercial, and responsible-AI considerations. The role also involves stakeholder alignment, product launches, adoption, and migration planning across publishing, technology, operations, and research integrity teams.

Owns the vision, strategy, roadmap, and delivery of AI-enabled editorial decision-support products after peer review. Partners with editors, data scientists, engineers, UX, and publishing stakeholders to evaluate AI capabilities, prioritize improvements, define success metrics, manage agile delivery, and ensure transparency, accountability, human oversight, and auditability. The role also supports launches, adoption, migration, and commercially informed product decisions.

Own the Mapping & Content product domain end to end, including strategy, prioritization, economics, and outcomes. Lead efforts to match hotel rooms and content across suppliers, languages, and formats with high accuracy and coverage. Partner closely with engineering and data science teams on entity resolution, search, matching, catalog, identity, recommendation, and content-quality problems. Identify high-value failures, make trade-offs between precision and coverage, and help build Nuitee’s product organization in a fast-moving environment.

Lead research on interactive avatar models and real-time generative AI video agents. Set research direction, advance multimodal perception and reaction generation, post-train diffusion models, build evaluation frameworks, define datasets, and guide research-to-production efforts. Mentor researchers and influence technical decisions across research, data, and engineering teams.

Develop and maintain highly scalable search and recommendation systems serving eBay’s global marketplace. Build production services, feature pipelines, model integrations, experimentation workflows, and low-latency distributed systems. Collaborate with product managers, engineers, analysts, and applied researchers to launch personalized experiences, evaluate A/B tests, and continuously improve machine learning-driven recommendations.

Own and expand strategic enterprise accounts across Europe, serving as executive relationship owner and driving revenue growth through account expansion plans. Coach account managers and customer success teams on strategy and complex commercial execution, improve key account processes, collaborate with product and customer operations, and report performance and pipeline to leadership. Represent the company with utility customers at conferences and events.