Top Machine Learning Jobs in the Netherlands

Lead strategy and execution for database products, define product vision, prioritize development efforts, and ensure customer needs are met in AI applications.

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.

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.

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.

As an Account Executive, you will manage the full sales cycle for enterprise accounts, focusing on B2B sales in the Benelux region, particularly in cybersecurity solutions. Strong communication skills and relationship-building are essential, alongside fluency in Dutch and English.

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.

Lead design, development, deployment, and monitoring of ML solutions (classifiers, regressors, ranking, LLMs). Partner with product and engineering, build reliable pipelines, improve reproducibility, and communicate model trade-offs to stakeholders.

Develop and scale neural networks for source code tasks, create and improve methods for code generation, editing, and agent-based workflows, mentor colleagues, and produce publishable ML research results.

Design, build, and deploy AI-powered features for a digital asset management platform using AWS AI services and LLM APIs. Implement embedding-based search, agentic AI workflows, prototypes, and collaborate with product and engineering teams to transition prototypes into production.

The intern will optimize biological AI models for efficiency, focusing on profiling bottlenecks, implementing compression techniques, and benchmarking inference pipelines.

Conduct applied AI/ML research to solve home design challenges, work with raw data, test hypotheses, and build prototypes/MVP solutions.

The Applied Researcher will develop and deploy deep learning models focusing on NLP, collaborating with engineers and data scientists to integrate solutions into eBay's products.

Design and deploy intelligent systems, productionize models, collaborate with stakeholders, and develop tools for cloud-based Machine Learning platform.

As a Machine Learning Engineer, you will design, deploy, and monitor intelligent systems, collaborating with stakeholders to deliver impactful solutions. You'll work on projects including demand forecasting, fraud detection, and recommendation systems using high-quality data.

Design and implement AI-powered full-stack features for ClickHouse Cloud, build scalable inference APIs, integrate ML models into production with monitoring and versioning, and create intuitive TypeScript/React UIs that expose AI capabilities to users.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As a Senior AI/ML Engineer, you will design ML solutions, create datasets, architecture improvements for AI agents, and contribute to MLOps practices.

As a Lead ML Engineer, you'll design and build recommendation systems, combining AI and user preferences to enhance shopping experience, overseeing the ML lifecycle from models to deployment.

As a Machine Learning Operations Engineer, you will develop and deploy ML and AI systems, ensuring reliability, security, and seamless integration for data scientists.

The Applied AI Engineer will onboard clients on Mistral AI products, manage complex integrations, and drive technological transformations through collaboration with stakeholders.