Top Machine Learning Jobs in the Netherlands

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.

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.

ScreenPoint Medical seeks talented individuals to join their teams, focusing on AI applications for breast cancer. Candidates can submit CVs and motivation letters for consideration.

The AI Lead is responsible for managing AI teams, driving AI project strategies, and ensuring deployment efficiency in telecommunications. They will oversee AI R&D, mentor team members, and collaborate across teams to align AI solutions with business goals.

As an Applied ML Engineer, you will build and scale data pipelines for video generation, ensuring data quality and optimizing preprocessing workflows.

Lead a team in developing courier compensation and incentive products using data-driven decision-making, while executing strategic direction and coaching PMs for performance excellence.

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.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The Senior Data Discovery and Enrichment Expert will evaluate AI models, ensure quality standards, and mentor junior members while collaborating with stakeholders.

The Principal Data Product Manager for ML/AI is responsible for product strategy, roadmap management, and cross-functional collaboration to deliver data-driven AI solutions that align with business objectives.

You will build tools for ML model lifecycle, collaborating with ML Engineers to improve model deployment and monitoring. Own projects from inception to production, evaluate new technologies, and enhance the ML platform.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

As a Machine Learning Engineer, you will lead the growth of the Data team, develop AI products, and optimize ML solutions while collaborating with multidisciplinary teams on client projects.

As a Machine Learning Engineer, you will lead teams in developing AI products, work on client projects, and build production-level ML solutions while mentoring Data Scientists.

The Staff Machine Learning Engineer will design, develop, and deploy ML models, manage the ML lifecycle, mentor engineers, and integrate AI into banking platforms.

The AI/ML Engineer will design and operationalize an AI Platform using Azure, focusing on automation and improving data security while collaborating with various teams to ensure compliance and efficiency.

Lead the Applied AI Team in developing and deploying ML systems for clinical care, mentoring engineers, and driving initiatives across the AI stack.

Own and drive ML solutions for clinical care at scale, including LLM fine-tuning and production deployment, collaborating across teams.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

As a Senior ML Researcher at JetBrains, you will train LLMs for software engineering agents, design experiments, and mentor junior colleagues.

The Senior Machine Learning Engineer will design evaluation frameworks, diagnose model performance, develop ML systems, and mentor junior engineers while collaborating across teams.

Optimize ML model training pipelines for speed and reliability, applying GPU optimization techniques and mentoring team members on performance best practices.