Top Machine Learning Jobs in Amsterdam

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.

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.

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

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

Seeking an AI/ML Engineer to develop and optimize machine learning models for mobile apps, collaborating with teams to enhance user experiences.

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.

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.

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

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

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

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

The Senior Machine Learning Engineer will design, build, deploy AI solutions, collaborating with cross-functional teams and ensuring maintainability and scalability of ML systems.

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.

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

As a Machine Learning Engineer at eBay, you will design, develop, and deploy ML models for advertising systems, analyze data, and collaborate multi-functionally while mentoring junior engineers.

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

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.