Senior ML Engineer (Europe-based/Remote) at Sword

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;

Strong ML fundamentals: you know which approach fits which problem and can reason clearly about tradeoffs;

Comfort with ambiguity: you've taken loosely defined problems and turned them into something running in production;

Solid engineering skills: production-quality code, familiarity with distributed systems, and the patience to debug messy ML pipelines;

Clear communication with both technical and clinical stakeholders.

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;

Open source contributions, technical writing, or other knowledge sharing.

Senior ML Engineer (Europe-based/Remote)