Top Artificial Intelligence Jobs in the Netherlands

The AI Marketing Engineer will develop AI tools and automation solutions for marketing workflows, collaborating across teams and ensuring compliance. The role demands strong Python skills and API integration experience.

As a Sr. Product Manager, you will lead the development of AI-powered pricing tools, collaborating with data scientists and engineers while focusing on customer needs and data-driven decisions.

Develop and integrate AI marketing solutions, automate workflows, optimize models, and ensure brand safety while collaborating across teams.

The Insights & AI Analyst will leverage data for business decision-making, produce insightful reports, and create visualizations. The role involves querying datasets, applying predictive analysis, and supporting AI model deployment, collaborating with various teams to derive actionable insights.

Seeking a Senior AI Engineer to develop and implement AI solutions using modern techniques for a SaaS platform. Responsibilities include building pipelines, prototyping features, and ensuring scalability while collaborating with backend developers.

The role involves driving new sales of AI solutions, engaging with executives, and closing high-value enterprise deals in various industries.

As an AI Research Engineer, you'll design and implement systems coordinating large language models with real-world tasks, creating novel prompting strategies and production-ready systems in TypeScript while collaborating with various teams.

This internship focuses on structuring knowledge and data to enhance AI tools for sales teams, ensuring better access to insights and improving proposals.

As a ML Performance Engineer, optimize model training and inference pipelines, develop efficient solutions, and promote best practices in computing resources.

As Head of Product, you will lead the product function and drive the AI product roadmap for B2C and B2B initiatives, collaborating with cross-functional teams and the C-Suite to incorporate user insights and agile strategies.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

Join Welo Data's global contributor network for flexible remote projects involving AI data annotation, evaluation, and prompt creation.

As Product Owner of AI Solutions at Sanoma Learning, you will shape product vision, manage product backlog, coordinate releases, champion data-driven decisions, and ensure ethical AI practices.

Responsible for developing and launching AI-powered solutions, overseeing integration within core operations, and driving product strategy aligned with business objectives.

The Analyst will provide insights to CFO clients on finance technology strategies, cloud ERP transformations, and vendor evaluations. They will publish research, advise clients, and deliver high-quality presentations, requiring extensive experience in finance and technology.

The Senior Data Analyst will lead AI-driven initiatives and enhance data infrastructure, focusing on machine learning, collaboration, and R&D in a hands-on role.

As a Senior Software Engineer at Nebius, you'll design and develop a large-scale LLM training platform, maintain ML infrastructure, and improve job scheduling strategies.

The Staff Engineer, AI will lead the design and architectural decisions for AI systems, mentor teams, and ensure innovative, scalable solutions that meet customer needs.

The Head of AI will shape product security solutions using cutting-edge AI, manage development processes, and lead a team to improve application security.

As an Account Executive, you will drive customer success by building relationships, showcasing product value, and enhancing growth strategies in AI governance.

Skedda seeks a Senior AI Full-Stack Software Engineer to develop AI-powered features, implement test automation, and manage projects from concept to launch.

As a Senior Software Engineer, you'll create advanced AI systems to improve developer productivity, integrate existing tools, and mentor junior engineers.

The Senior Product Manager will lead AI-driven initiatives, manage product roadmaps, and drive innovation in digital asset management, focusing on customer needs and market differentiation.

Develop and optimize low-level kernels for AI inference, improve inference engines, debug performance issues, and collaborate across teams.

Lead the development and enhancement of LLM-powered products, collaborating with cross-functional teams to create innovative AI-driven solutions.