Top Machine Learning Jobs in the Netherlands

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

The Head of Machine Learning will manage 9 ML engineers, coordinate projects, contribute to system architecture, and promote team growth. Responsibilities include strategic leadership, project management, and technical mentorship to align ML initiatives with business goals.

Design, prototype, and deliver ML and LLM solutions, working closely with the Python Platform team to productionize AI workflows.

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.

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.

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

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

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.

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.

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.

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

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

As a Machine Learning Engineer, you will collaborate with cross-functional teams to architect, implement, and maintain ML models and services, ensuring high availability and performance. You will help design experiments and advise on data strategy while delivering robust ML solutions.

Drive the development of machine learning solutions, lead technical initiatives, and mentor junior engineers while shaping ML strategies.

The Machine Learning Engineer will develop high-performance algorithms for retail decision-making, optimizing solutions and supporting data scientists in applying these algorithms effectively.