Top Machine Learning Jobs in Amsterdam

Design and govern agentic interfaces and domain architectures for AI-driven workflows across logistics, fleet, and mobility. Translate customer workflows into reusable agent skills, context and memory models, and orchestrations. Drive data-centric learning loops with data science, define integration patterns with enterprise systems, and ensure security, observability, and explainability. Own concept-to-implementation delivery and continuous improvement of domain agent capabilities in production.

The Consultant will address customer AI strategies, prototype solutions using Celonis’ technologies, and ensure successful implementation and ROI realization for AI projects.

This internship involves assisting the ServiceNow Impact Team in delivering technical accelerators for clients, improving processes, and enhancing customer adoption of ServiceNow products.

As a Senior AI Research Engineer, you will drive Adyen's AI strategy, build production-grade applications, optimize AI interactions in finance, mentor teams, and engage with the AI community.

The Engineering Manager leads the Optimize Interfaces team, driving architecture strategy, mentoring engineers, collaborating across teams, and fostering an inclusive culture.

Lead global design, governance, and deployment of quantitative financial crime detection models and risk-rating engines. Translate regulatory requirements into algorithmic controls, calibrate monitoring and screening thresholds, validate models, and partner with Product, Engineering, and investigations teams to minimize false positives while maintaining detection performance. Represent model logic and tuning to regulators and banking partners.

Lead the development of Adyen Protect, focusing on machine learning models for fraud detection, infrastructure scaling, and team mentorship.

As an Engineering Manager, you will lead a team focused on building a machine learning-powered fraud detection engine, mentoring engineers, and collaborating across teams to achieve strategic goals.

Lead product design vision and strategy across TIDAL, driving complex initiatives end-to-end. Define design systems and standards, pioneer AI-driven approaches, partner with Product/Engineering/ML leadership, mentor designers, and identify new business opportunities to empower artists.

As an ML Research Engineer, you will develop computational methods and infrastructure to enhance molecular simulations and machine learning force fields for materials discovery.

Lead vision, roadmap, and performance for Search and Cache products. Oversee product owners, align roadmap with strategy, define KPIs, collaborate with ML/Data teams, co-lead R&D and A/B testing, manage direct reports, and drive stakeholder relationships and product delivery.

Lead AI and data science strategy across ML, NLP, search, recommendation, and generative AI. Manage and develop teams to deliver production-ready systems (LLMs, RAG, semantic search, embeddings), establish evaluation and responsible AI practices, and align roadmaps with product and business outcomes while influencing senior stakeholders.

Design and deliver production-ready AI, NLP, and generative AI solutions for scientific knowledge discovery. Build LLM-powered workflows, RAG systems, retrieval/ranking/recommendation features, integrate ontologies and metadata, establish evaluation and monitoring, write production Python, and provide technical leadership and mentoring.

Conduct original research in AI and machine learning, develop deep learning architectures, analyze large datasets, and explore new methodologies.

Lead client engagements by developing advanced predictive models, managing stakeholders, and guiding project teams. Mentor colleagues and support business development in data science and Generative AI.

The role involves leading a Data team, developing AI products, guiding Data Scientists, and collaborating in multidisciplinary projects while ensuring production-level ML solutions and training.

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.

Perform remote, part-time data tasks to improve Dutch AI outputs: collect, evaluate, and annotate data; perform pairwise comparisons, counting, object tagging across audio, video, images, and other content.

As an AI Solution Architect, you'll drive the adoption and scaling of GenAI solutions, partner with sales, design projects, and guide clients in successful AI integration.

Lead AI and data science strategy and teams to design, build, and deploy ML/NLP/LLM-driven products (RAG, semantic search, embeddings). Drive evaluation, responsible AI standards, experimentation, stakeholder alignment, and measurable product and business outcomes.

As the Global Fraud Lead, you will design and implement fraud detection systems, optimize processes with machine learning, and ensure compliance with regulations while leading fraud operations and reporting.

Assist in the evaluation of Generative AI products, ensuring quality and alignment with responsible AI principles while collaborating with cross-functional teams.

Develop core methods for temporal ontology extraction and contradiction detection. Collaborate with research teams and publish findings. Prototype ideas, create datasets, and validate methods.

As an AI Product Manager, you will define the product roadmap, collaborate with teams to develop AI features, conduct market research, and ensure ethical AI use.

Develop, design, test and implement imaging and 3D reconstruction algorithms using C++ and Python. Analyze real data, optimize for high-performance computing, integrate algorithms into applications, and collaborate across algorithms, physics, and electronics teams while participating in design and code reviews.