Top Machine Learning Jobs in Amsterdam

The ML/AI Engineer will benchmark GPU platforms for AI workloads, analyze GPU performance, optimize ML workloads, and develop performance visualization tools.

The Senior Machine Learning Engineer will build personalization systems and recommendation engines, oversee the model lifecycle, and optimize user engagement with AI-driven tools.

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

The Senior Quality Operations Engineer will manage quality systems, ensure compliance with regulations, oversee audits, and optimize workflows in medical technology.

As a ML Performance Engineer, optimize model training and inference pipelines, develop efficient solutions, and promote best practices in computing resources.

Lead the development of machine learning infrastructure for cybersecurity, driving production ML systems from experimentation to deployment, while mentoring junior engineers.

Research and implement physics-informed AI algorithms and workflows, supervise teams, publish research, and collaborate for Autodesk's design and engineering tools.

Responsible for developing AI/ML solutions in cloud-based environments, optimizing pipelines, integrating ML models, and mentoring junior staff.

The role involves owning the full ML lifecycle, applying classical ML thinking, monitoring models, collaborating with teams, and ensuring business outcomes.

The Senior Machine Learning Scientist will own the full ML lifecycle, develop production-grade ML algorithms, and collaborate closely with cross-functional teams to drive business outcomes.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

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

Develop and deploy ML/AI models for financial predictions, work with trading teams, and analyze high-frequency data streams while focusing on performance and risk assessment.

Lead engineering projects in data acquisition, curate multimodal datasets, develop scalable data pipelines, and conduct experiments for insights in AI.

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

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.

Design and deploy LLM applications for payroll, lead architecture decisions, and collaborate with teams. Requires AI/ML experience.

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

As a Machine Learning Engineer I, you will build and scale systems for ML model training, deployment, and monitoring within the payments platform, contributing to fraud detection and payment optimization.

As a Senior Software Engineer, you'll create advanced AI systems to improve developer productivity, integrate existing tools, and mentor junior engineers.

You will lead the Data team in developing AI products, work on client projects, and build production-level ML solutions while mentoring others.

The role entails optimizing model performance and developer experience through serverless inference platforms, distributed systems, and API development. Responsibilities include enhancing system robustness and scalability, partnering with product teams, and maintaining clean software and IaC.

The Senior Python Software Engineer will enhance ClickHouse's Python capabilities for data scientists, improve Python integrations, contribute to open-source projects, optimize data handling, and collaborate with teams to refine features and educate users.

The role involves building and iterating machine learning models, collaborating with stakeholders to address Trust & Safety issues, deploying models in production, and improving team performance through knowledge sharing and documentation.

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.