Senior ML Engineer (Europe-based/Remote)

What you’ll be doing:

• Own ML projects end-to-end: take problems from exploration through production deployment and keep iterating once real users are on them.
• Build agentic LLM systems: design multi-step workflows with tool use, retrieval, and orchestration, and make them reliable enough for clinical settings.
• Treat evaluation as core engineering work: build eval sets, offline and online harnesses, LLM-as-judge pipelines with human review, and regression tests.

What you need to have:

• Experience shipping ML systems to production that people actually depend on.
• Hands-on LLM work in production: prompting, retrieval, tool calling, and agent-style workflows.
• A rigorous approach to evaluation: you've built eval datasets and frameworks, and you can tell a real improvement from noise.

Bonus points:

• Experience with fine-tuning or preference optimization (RLHF, DPO, or similar).
• Healthcare AI, or other high-stakes domains where errors carry real cost.
• Built agent frameworks or evaluation tooling from scratch.