About the role
Sword Health is hiring a Senior ML Engineer to build and operate AI systems for its healthcare platform. The role focuses on agentic LLM workflows for clinical settings, including tool use, retrieval, orchestration, and rigorous evaluation through offline and online harnesses, human review, and regression testing. The engineer will own ML projects from exploration through production deployment and continued iteration with users.
The position spans data preparation, model adaptation, serving, monitoring, and production feedback loops. It calls for experience shipping ML systems people depend on, hands-on production LLM work, strong ML fundamentals, and the ability to turn ambiguous problems into running systems. The engineer will partner with product, clinical, and engineering teams, review code, share learnings, and mentor less experienced engineers. Sword lists total compensation of €66,500-€104,500, including base, variable compensation, and equity.
Highlights
- Build reliable agentic LLM systems for clinical use.
- Develop evaluation datasets, pipelines, and regression tests.
- Own ML delivery across deployment, monitoring, and iteration.
- Remote across Europe; total compensation range €66,500-€104,500.
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