Jobs Hiring Near Me: Curated Data Scientist Jobs in Netherlands

Lead the architecture and evolution of an open-source speech-to-speech library while helping turn a new voice platform into a production-ready developer product. Combine deep backend and ML engineering with realtime audio, inference infrastructure, and developer experience.

This senior-level opportunity involves architecting and building an enterprise-grade AI orchestration platform. You will design scalable AI systems, including large language models, retrieval, multi-agent workflows, and reusable components. The role offers deep exposure to technologies like Claude, LangGraph, RAG, vector databases, and MCP. Technical leadership is provided in areas such as scalability, security, and reliability. The remote environment requires strong communication, problem-solving, and ownership skills. This position is particularly suited for an experienced AI/ML professional who wants to influence the architecture of production-grade generative AI systems.

This is a founding-level AI engineering role at a small, product-focused B2B SaaS pricing platform, sitting at the intersection of LLM infrastructure and high-stakes commercial decisions. You'll own the evaluation systems, feedback loops, and model infrastructure that tie AI-driven pricing recommendations directly to revenue and compliance outcomes. Your work will have immediate, measurable impact on customers from day one.

This traineeship is a genuine way into engineering. You'll have real ownership, with coaching alongside you the whole way, and the possibility to grow further and develop your career at Rentman.

This is a founding engineering role at an early-stage B2B SaaS pricing intelligence company where you will own the evaluation systems, feedback loops, and LLM infrastructure that connect model outputs directly to revenue and compliance outcomes. You'll join a small, product-focused team shipping to real customers with meaningful influence over the technical direction of the AI platform from day one.

This role offers the opportunity to build production-grade AI systems in a high-impact healthcare environment where reliability, evaluation, and safety are essential. You’ll own machine learning initiatives end-to-end, taking complex problems from early exploration through deployment and continuous improvement. A major focus will be designing agentic LLM systems with tool use, retrieval, orchestration, and robust evaluation frameworks. You'll work across the AI stack, from data preparation and model adaptation to serving, monitoring, and production feedback loops. Close collaboration with Product, Clinical, and Engineering teams will be critical to translating real-world healthcare needs into effective technical solutions. You’ll also contribute to engineering excellence through mentorship, knowledge sharing, and practical adoption of AI across the team.

Moss is a SaaS scale-up founded in Berlin, with a team of 300+ people from 50+ nationalities in 5 offices across Europe. Our ambition is to power every SMB’s spend across Europe - fully digital, AI-driven, and seamlessly integrated for complete control. Moss has raised a total of €180 million in funding and is backed by the most renowned tech investors including Valar Ventures, Tiger Global, Global Founders Capital, Cherry Ventures and A-Star.

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This role offers an opportunity to combine strong Java engineering expertise with hands-on Generative AI development. You will design and implement practical, production-ready AI solutions aligned with business and executive priorities. The position focuses on agentic workflows, AI application integration, and performance engineering in an evolving technology landscape.

This role focuses on researching, designing, and implementing advanced machine learning solutions for physical AI applications. The professional will develop models, algorithms, and infrastructure that enable intelligent agents to perceive, reason, and act in real-world environments while collaborating with multidisciplinary research and engineering teams.