Top Machine Learning Jobs in the Netherlands

Work in multidisciplinary teams to apply advanced analytics, machine learning, optimization, and Generative AI/LLMs to solve client business problems, present results, and facilitate workshops.

Lead product vision and discovery for a genomics-driven diagnostic and personalization platform. Validate hypotheses with patients, clinicians, and partners; translate research into product specs; coordinate labs and data providers; partner with engineers and researchers to build AI prototypes; shape data, regulatory, and GTM strategy while making core product and architectural decisions.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Lead Workday Compensation implementations and HCM transformations: run workshops, gather requirements, configure, test, deploy, lead workstreams, liaise with clients and teams, and apply Accenture/Workday methodologies and AI-enabled tools.

Collaborate in multidisciplinary teams to develop statistical models, optimization solutions, and machine learning applications. Apply Generative AI and LLMs, extract actionable insights, present results, and support client workshops to solve business problems.

Define and execute the product roadmap for AI-driven blockchain security monitoring tools. Collaborate with cross-functional teams, analyze market and customer feedback, deliver features on time, and communicate with stakeholders to align expectations and improve product offerings.

Ten-week, hands-on quantitative research internship applying mathematics, statistics and programming to market data to develop and test systematic trading strategies. Includes structured training, collaborative research projects, simulated trading, exposure to traders/researchers, and AI applications. Strong performers may receive full-time offers.

Join as a graduate quantitative researcher to design, build, test and deploy statistical and machine learning models for pricing, forecasting and signal discovery using large-scale market and unstructured data. Collaborate with researchers, traders and engineers to monitor production models, refine assumptions, and accelerate research-to-production using AI-enabled workflows.

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.

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.

ScreenPoint Medical seeks talented individuals to join their teams, focusing on AI applications for breast cancer. Candidates can submit CVs and motivation letters for consideration.

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

Build and own cloud data infrastructure and ETL pipelines on major cloud platforms. Collect, transform, and serve large-scale data; create reusable integrations and orchestration for multi-use cases while working in Agile teams.

Design, build, and maintain large-scale data environments and reusable ETL pipelines. Collect and transform data from multiple sources, develop integration services in cloud or hybrid infrastructures, and apply orchestration, API development, and ML/AI knowledge to ensure high-performance, production-ready datasets.

Lead global paid marketing channels and a 20-person team from Amsterdam. Own budget allocation and P&L-driven customer acquisition, run ML/AI-powered experiments, build measurement frameworks with finance, and partner with global platforms to scale growth and protect against privacy risk.

Partner with sales to discover customer needs and deliver compelling Workday Financials demonstrations, workshops, and RFP responses. Lead functional strategy in complex deals, build CFO-level relationships, support demand generation, and communicate Workdayvalue and ROI while continuously upskilling in product and AI-driven finance capabilities.

Support product development from concept to manufacturing for automotive embedded mixed-signal processors. Create and execute characterization and qualification plans, design required hardware, introduce DfX, analyze test data, interface with test and manufacturing teams to optimize yield and ramp to high-volume production, and manage tools for customer complaints and quality incidents.

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.

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

Own Go-To-Market for performance media buyers: build relationships, close and onboard clients, represent Kayzen at industry events, advise prospects on product strategy, and funnel market feedback across teams.

As an AI Research Intern, you will tackle AI research questions, build prototypes using AI tools, and design evaluations for AI systems while collaborating with fellow engineers and product managers.

Lead product strategy and execution to grow buyer discovery, engagement, conversion and retention. Prioritise opportunities using data and research, run experiments and A/B tests, partner with engineering, design and data science, and scale AI-enabled recommendation and personalization features to deliver measurable customer and business outcomes.

Own client success for Emiri deployments by triaging issues, identifying root causes, coaching commercial teams, configuring and QA-ing client models, testing fixes, and translating user feedback into product enhancements and clear guidance for users and development.

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.

The Head of Education & Community at Siena is responsible for developing product education, onboarding programs, community events, and market education resources. This role involves creating curricula, conducting workshops, and supporting sales with training and demos while leveraging AI for teaching efficiency.