Top Machine Learning Jobs in Amsterdam

Lead and manage AI certification schemes globally, provide accreditation expertise, support policy rollouts, and mentor personnel in AI and information security.

Lead quality assurance efforts for multilingual datasets, ensuring accuracy and cultural relevance while managing QA processes and collaborating with diverse teams.

The AI Lead is responsible for managing AI teams, driving AI project strategies, and ensuring deployment efficiency in telecommunications. They will oversee AI R&D, mentor team members, and collaborate across teams to align AI solutions with business goals.

The role involves deploying AI products, managing customer relations, collaborating on complex projects, and ensuring successful product adoption. Requires deep knowledge of machine learning and experience with LLMs.

Lead the AI product strategy at Goodnotes, overseeing development across various AI initiatives and ensuring alignment with company vision.

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.

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

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.

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.

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.