Top Machine Learning Jobs in the Netherlands

As a CRM Specialist, you'll execute customer contact strategies, enhance customer retention, and develop data-driven CRM campaigns across multiple channels to boost engagement.

Lead the Market & Customer Intelligence Program, transforming insights into actionable intelligence, and driving program adoption across Medtronic EurAsia while managing stakeholder engagement.

The Senior Product Manager will lead the DPAI Arena project's evaluation standards, working with stakeholders, curating datasets, and defining metrics for success.

The role involves evaluating AI and machine learning products, ensuring quality, and collaborating with stakeholders. The expert analyzes data and mentors junior members while promoting responsible AI principles.

The role involves analyzing large datasets to derive insights for business strategy, building AI solutions, and communicating findings to the CEO.

The Sales Specialist is responsible for executing digital sales strategy, achieving growth targets, developing customer relationships, and enhancing ABB's market position in the Benelux region.

As a Data Scientist, you will develop and optimize AI and NLP models, work with data pipelines, and collaborate with developers and experts. Responsibilities include data preparation, model testing, and performance monitoring.

Lead cross-functional teams of machine learning engineers and data scientists, driving technical direction and fostering a collaborative environment to develop high-quality ML-driven capabilities.

Conduct research in AI and machine learning, develop deep learning architectures, and analyze large datasets to enhance research outcomes.

As a Machine Learning Research Intern, you will conduct research on HFT strategies, analyze market opportunities, and collaborate on strategy implementation using ML techniques.

Join a trading team to analyze global markets and develop profitable trading strategies using machine learning and statistical models.

The Senior Quantitative Researcher will lead the development and deployment of ML-based statistical arbitrage strategies while mentoring team members and collaborating with internal teams.

As an AI Data Scientist, optimize AI-driven features, improve recommendation systems, enhance conversational agents, and build production-grade AI capabilities in a dynamic startup environment.

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

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.

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.

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.