Top Machine Learning Jobs in the Netherlands

Join eBay's Recommendations team as a Sr Applied Scientist to develop state-of-the-art ML modeling and systems for real-time item recommendations using innovative AI techniques.

The VP Analyst will provide insights on AI and application services to C-level clients, conduct research, develop content, and deliver strategic advisory sessions. They will leverage broad industry experience and technical knowledge in AI technologies and application stacks.

The Machine Learning Engineer will lead AI product development, manage data projects, guide data scientists, and participate in client engagements while focusing on the growth of the Data team.

The Senior Data Science Consultant will lead client engagements, develop predictive models, mentor teams, and drive Generative AI project delivery.

The Senior Data Science Consultant develops and implements complex models for clients, manages projects, and supervises consultants while contributing to the firm's growth and influence in the field of data science.

As a Machine Learning Engineer, you will lead a team in developing AI products, optimizing ML models for production, and collaborating on client projects while guiding data scientists in a multidisciplinary environment.

Lead client engagements in advanced analytics and Generative AI, manage project teams, and provide strategic recommendations for impactful delivery.

The Technical Lead will drive AI and Data Science initiatives across various domains, influencing stakeholders, mentoring teams, and delivering scalable AI solutions while ensuring business impacts and operational performance.

Intern will control robots via VR for data collection, label visual data, assist with basic debugging, and collaborate with a tech team.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

The Product Analyst will optimize EMS strategies through data analysis, collaborate with stakeholders, implement solutions, and develop predictive models.

The Senior Specialist will enhance global trade compliance through risk management, customs governance, AI analytics, and cross-functional leadership, ensuring regulatory adherence and operational excellence.

The role involves developing AI systems for eBay's marketplace using large language models and deep learning techniques, collaborating to enhance commerce workflows and user decision-making.

Lead and grow a backend engineering team building scalable, cloud-agnostic infrastructure and services for Databricks. Hire and develop engineers, ensure engineering excellence (architecture reviews, testing, monitoring), drive roadmaps with product leadership, and coordinate cross-team execution to deliver reliable distributed systems and ML infrastructure.

As AI Strategy Lead, you'll manage key clients and develop AI strategies for tech scale-ups, leveraging your consulting experience and network.

The Machine Learning Scientist at Adyen will design and deploy real-time algorithms, create analytical pipelines, and lead projects to ensure compliance and scalability in financial transactions.

The Senior Threat Detection Engineer will develop and implement advanced threat detection systems, optimize SIEM solutions, enhance EDR/XDR tools, and collaborate with teams to strengthen cybersecurity defenses.

As a Data Analyst, you will develop data strategies, enhance data governance, implement data quality processes, and provide data-related insights to clients.

As a Data Analyst, you'll advise clients on data management strategies, implement solutions, and enhance data governance and quality. You'll also provide insights for business decisions based on analytical data evaluations.

Perform remote, part-time data tasks to improve Dutch AI outputs: collect, evaluate, and annotate data; perform pairwise comparisons, counting, object tagging across audio, video, images, and other content.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

Design, develop, and deploy production ML models and pipelines to optimize pricing and revenue. Run experiments (A/B tests), monitor model performance, troubleshoot production issues, and collaborate with product and engineering to integrate ML services.

Lead AI transformation across the company by owning end-to-end data science and AI initiatives: strategy, discovery, modelling (ML, simulation, causal), deployment, coaching, stakeholder management, and fostering GenAI adoption.

The engineer will develop AI and data-driven solutions for maritime systems, focusing on computer vision, autonomy, and system integration, collaborating with multidisciplinary teams.

As an AI Solution Architect, you'll drive the adoption and scaling of GenAI solutions, partner with sales, design projects, and guide clients in successful AI integration.