Top Machine Learning Jobs in Amsterdam

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

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

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

Develop and deploy ML/AI models for financial prediction and anomaly detection; collaborate with teams on strategy and data analysis.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

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

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.

As a Staff ML Engineer, lead the development of machine learning systems for advertising, drive strategic data decisions, optimize system performance, and mentor engineers.

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 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.

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

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.

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

The Applied ML Researcher will develop and implement generative models for material design, focusing on inorganic crystals while collaborating with a multidisciplinary team and integrating models into CuspAI's platform.

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

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

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 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.

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

Lead a team of researchers and engineers in developing and deploying advanced AI-driven recommender systems for eBay's eCommerce platform, leveraging ML and NLP techniques.

The Applied Researcher will develop and deploy AI models, work with large datasets, and create innovative recommendation systems at eBay.

Develop and deploy state-of-the-art AI models, agentic workflows, and recommender systems using NLP and big data technologies while collaborating with teams at eBay.

The Senior Machine Learning Engineer will design and implement ML pipelines, optimize LLM performance, and collaborate on AI infrastructure for cost-efficient solutions.

The Senior AI Engineer will design and develop advanced ML and NLP solutions for healthcare, collaborating across teams and mentoring juniors.