Top Artificial Intelligence Jobs in the Netherlands

This internship focuses on investigating AI applications within the Motion division, improving workflows with AI tools, and providing implementation recommendations.

The Legal Engineer will design AI-powered workflows, engage with clients, and support product improvement in legal tech. Candidates should have a law degree and 2-5 years of experience in legal roles, alongside strong communication and problem-solving skills.

The Junior Marketing Manager will execute end-to-end marketing campaigns, optimize digital executions, collaborate with teams, and analyze campaign performance to drive customer adoption, retention, and growth.

As a Senior SecOps Engineer, you'll design, automate, and operate security controls, manage IAM/RBAC, conduct threat modeling, and drive incident response.

The Expert Partner will lead client engagements in Data & Analytics, advising on strategic initiatives, building teams, and managing client relationships to drive business success and financial objectives.

The Pedagogical AI Expert will strengthen AI product development at Sanoma Learning, shaping pedagogical strategy and translating it into product requirements, focusing on learning outcomes and risk mitigation, while collaborating across teams.

Design, train, and evaluate NLP and LLM-based solutions (RAG, chatbots, extraction, summarization). Curate and preprocess data, build end-to-end model pipelines, fine-tune and evaluate models, and collaborate with stakeholders to deliver clinically impactful generative AI solutions.

Develop and improve AI-driven legal products utilizing LLMs through design, integration, and backend system optimization, collaborating with cross-functional teams.

The Principal Full Stack Engineer will develop the GenAI platform used in healthcare and other industries, mentoring engineers and leading the team in creating AI agents and full-stack systems.

As a Senior AI Engineer, develop and improve AI-driven product features using APIs, optimize backend systems, and collaborate on intricate workflows for legal AI applications.

Lead AI transformation initiatives in procurement, creating impactful research, developing strategies, and advising clients on AI integration and analytics for business outcomes.

The Senior AI Engineer at eBay will lead AI/ML initiatives, drive operational excellence, manage AI system lifecycle, and mentor a high-performing team.

As an Agentic AI Engineer, you will design AI agents, optimize customer experiences, mentor team members, and manage seamless integrations using Microsoft Power Platform and Azure.

As a Lead AI Engineer, you will lead AI projects, manage teams, and act as a strategic advisor to clients in a consultancy context.

As an AI Engineer, you'll design AI tools for authors, enhance internal workflows, and build tools for AI development, collaborating with teams to identify AI opportunities.

The intern will research market trends in AI and cloud, analyze product specs, support sales initiatives, and assist in developing demand-generation campaigns.

The role involves developing AI models for influencer marketing, collaborating with product and engineering teams, and improving model performance through experimentation and scalable data processing.

The role involves leading Data & AI offerings in Europe by shaping the go-to-market strategy, enabling local sales teams, and analyzing market demands.

Interns will research and evaluate existing AI tools to improve knowledge sharing and configuration processes. This will include user testing and demos.

As an AI Curriculum Development Specialist, you will create engaging learning content and develop curricula using AI, enhancing the efficiency and interactivity of training.

The AI/ML Engineer will design and operationalize an AI Platform using Azure, focusing on automation and improving data security while collaborating with various teams to ensure compliance and efficiency.

The Senior AI Product Manager will lead cross-functional teams to define, develop, and manage B2B SaaS products, focusing on customer value and market needs, while utilizing Agile methodologies and Generative AI technologies.

Support AI adoption initiatives and assist employees with Microsoft 365 Copilot. Develop prompts, create training materials, and analyze usage data.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.