Top Machine Learning Jobs in Amsterdam

Lead client engagements and guide project teams in advanced analytics and Generative AI. Develop predictive models and manage stakeholders effectively.

Drive technical future of ML at Storio, leading design, deployment of ML models, and improving data maturity while coaching other data scientists.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

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

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

The Refining and Petrochemical Process Optimization Engineer analyzes process data, works on AI-driven optimization models, and collaborates with clients to improve operations and drive efficiency.

As a Data Analyst, you will develop data strategies, implement data quality processes, and provide insights to help clients maximize data value. You'll work on data governance frameworks and assist with data integration and transformation projects.

Lead the design and deployment of advanced Machine Learning and Generative AI models, ensuring scalability and compliance while transmitting insights into impactful business actions.

Analyze large datasets using machine learning and analytics to enhance the gaming business. Collaborate on data-driven strategies and innovations.

The Marketing Innovation Director will lead AI-driven marketing strategies, pilot new tools, evaluate ROI, and enable cross-functional collaboration to enhance marketing efficiency and effectiveness.

The role involves designing experiments, improving ML processing, writing Python code, and collaborating on automation solutions for task similarity.

The AI Data Specialist role involves data collection, evaluation, and annotation tasks to enhance AI-generated content in Dutch.

The Senior Manager of Sales Leadership Development will develop a leadership program focused on AI integration, coaching, and performance analytics. Responsibilities include training sales leaders, optimizing sales processes, and driving AI adoption.

Conduct research in AI and machine learning, develop deep learning architectures, and analyze large datasets to enhance research outcomes.

As a Machine Learning Research Intern, you will conduct research on HFT strategies, analyze market opportunities, and collaborate on strategy implementation using ML techniques.

Join a trading team to analyze global markets and develop profitable trading strategies using machine learning and statistical models.

The Senior Quantitative Researcher will lead the development and deployment of ML-based statistical arbitrage strategies while mentoring team members and collaborating with internal teams.

Manage a portfolio of customers, ensuring they maximize value from Sardine's fraud prevention and compliance products while collaborating with internal teams and analyzing performance metrics.

The internship focuses on enhancing quantitative and programming skills, allowing interns to contribute to predictive models and automated trading strategies in a team environment.

Analyze large datasets to tackle business challenges in gaming using machine learning. Collaborate with teams to implement data-driven strategies and deliver insights.

Design, develop, and deploy scalable machine learning solutions at scale for satellite imagery analysis, collaborating with a global team to deliver actionable insights.

Design, build, and maintain scalable services for the AI lifecycle. Develop tools for data processing and pipelines, deploying new models and features, and support backend platform management.

As a Software Engineer Intern, you will build features for user-facing products, design data pipelines, implement scalable services, and contribute to technical documentation while being part of a collaborative team.

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

The role involves optimizing machine learning models for performance and reliability, building distributed systems, and enhancing developer tools. Responsibilities include API management and systems analysis.