Top Machine Learning Jobs in the Netherlands

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.

Lead strategic AI-enabled innovation projects at Philips, managing cross-functional teams and ensuring compliance with regulations. Drive concepts from ideation to market launch while integrating AI capabilities and developing strategic partnerships.

Design and develop AI-driven features to enhance customer experience, execute ML projects, and optimize AI performance while collaborating cross-functionally.

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.

The Business Analyst drives performance by providing analysis, recommendations, and decision support. Responsibilities include data governance, performance management, and collaborating on insights with business units.

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.

Lead phenomics product strategy and roadmap, integrate imaging and AI/ML technologies into breeding workflows, manage end-to-end deployments across international R&D sites, collaborate with IT and external partners, and scout emerging technologies to deliver measurable impact for seed development.

The role involves designing and developing model evaluation pipelines, user studies for subjective evaluations, and automated dashboards to report results, alongside leading the evaluation team and communicating with other teams to improve model performance.

The Head of Computer Vision will lead a team of ML Engineers, drive the long-term ML strategy, focus on breakthrough innovations, and establish cross-functional partnerships while mentoring and scaling the team effectively.

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.

As a Data Analyst, you will develop data strategies, enhance data governance, implement data quality processes, and provide data-related insights to clients.

The Senior Threat Detection Engineer will develop and implement advanced threat detection systems, optimize SIEM solutions, enhance EDR/XDR tools, and collaborate with teams to strengthen cybersecurity defenses.

As an Embedded Software Intern, you'll work on AI and ML projects for embedded devices, focusing on anomaly detection and optimization of wireless sensor applications.

Provide engineering support for digital equipment in RF payloads across ESA projects: design, simulation, modelling, testing, tool development, reviews, and coordination with labs, industry and academia. Maintain state-of-the-art expertise, define technical requirements, and validate hardware/software for payload signal processing, data compression/encryption, and device specification.

Design, prototype, and deploy ML and LLM solutions using messy, real-world data. Build data pipelines, models, visualizations and PoCs. Communicate insights to technical and non-technical stakeholders and iterate quickly to deliver business impact.

The Associate Professor will advance AI application in environmental health, engage in interdisciplinary research, teach, and mentor students.

The position involves conducting research and teaching in mathematics-enhanced AI for biomedical applications, mentoring students, and advancing interdisciplinary initiatives.

Lead a team of ML Engineers to develop and optimize ML systems, ensuring high-quality clinical care through AI. Foster collaboration across teams for innovative AI/ML features.

As the Senior Technical Lead of the AI & Analytics Ops squad, you'll drive engineering excellence, technical direction, and ensure the secure deployment and maintenance of AI workloads at scale.

As a CRM Specialist, you'll execute customer contact strategies, enhance customer retention, and develop data-driven CRM campaigns across multiple channels to boost engagement.

Lead the Weaviate Database product: own roadmap and strategy, translate customer and research insights into features across schema, storage, replication, and search quality, coordinate cross-functional teams, drive developer adoption, and measure feature outcomes post-release.