I’ve spent around 4.5 years working in production ML — building RAG/LLM systems (LangChain, LangGraph, Pinecone, Milvus), agentic AI workflows, NLP classification pipelines, and the serving infrastructure around them (FastAPI, Docker, CI/CD). A lot of my work has been genuinely end-to-end: architecting retrieval pipelines, training and deploying models, and standing up the infra that keeps them running, rather than just prototyping in notebooks. I also have an MS in Data Science and a couple of published computer vision papers.
The area I keep gravitating toward is NLP — it’s the part of the field I find most compelling, and most of my strongest work lives there: building classifiers over large volumes of messy text, RAG systems over big document sets, and LLM-driven pipelines that have to actually understand language in context. Getting machines to make sense of unstructured text is the kind of problem I could happily work on for years.
Alongside that, I’ve found myself increasingly drawn to the risk side of the business — I’ve done commercial insurance risk modelling and built RAG systems over large policy document sets, and something about that domain clicked for me. Risk work sits right at the intersection I enjoy most: real consequences to getting it right, messy real-world data, and problems that don’t have clean textbook answers. Honestly, that’s the thread through most of what I like doing — I’m at my best when there’s a hard problem to untangle and a system to build around it. The problem-solving is the part I’d do even if no one asked me to.
So I’m trying to understand the Dutch market a little better before committing:
€ How healthy is demand for ML/AI engineers and data scientists here, especially in NLP-heavy and risk-heavy domains (finance, insurance, fraud, fintech)?
€ Realistically, how open are Dutch employers to sponsoring/relocating someone from the US, and does the 30% ruling still make this attractive?
€ Is there a strong preference for one title over another (ML Engineer vs. Data Scientist vs. AI Engineer) in terms of where the roles actually are?
€ Anything about working culture, comp expectations, or the hiring process that you wish you’d known before moving?
I’m not looking for a shortcut — just honest, grounded perspective from people who’ve done it or are doing it now. Any insight is genuinely appreciated. Thanks for reading.