Top Machine Learning Jobs in Amsterdam

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

As a Senior Machine Learning Engineer, you'll develop and maintain APIs and pipelines for AI evaluation, ensuring reliability and scalability for product teams.

Design and deploy scalable machine learning models, ensuring their efficiency and accuracy while collaborating with data engineers and scientists.

The role involves developing and deploying ML products, supporting testing and monitoring strategies, and collaborating with data teams. Candidates should have strong experience in ML with proficiency in Python and various ML frameworks.

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 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.

Research and develop AI/ML models for handwriting recognition and related technologies, collaborating with a multidisciplinary team to deliver innovative features.

As a Senior AI/ML Engineer at Crypto Banter, you will develop a market intelligence system that correlates social media signals with cryptocurrency price movements, leveraging natural language processing and real-time data.

The Robotics ML Engineer will build AI-first robotics projects and data pipelines, create educational content, and interact with customers to improve projects at Rerun.

The Staff Machine Learning Engineer will develop machine learning solutions, lead projects, mentor junior engineers, and influence technical direction.