Senior ML Engineer

📋 Description

• Own ML projects end-to-end: take problems from exploration through production deployment and keep
• Build agentic LLM systems: design multi-step workflows with tool use, retrieval, and orchestration
• Treat evaluation as core engineering work: build eval sets, offline and online harnesses
• Improve model quality with whatever fits the problem: prompting, retrieval, distillation, or
• Work across the full AI stack: data prep, model adaptation, serving, monitoring, and the feedback
• Partner with Product, Clinical, and Engineering: translate clinical requirements into technical

🎯 Requirements

• 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: built eval datasets and frameworks, can tell a real improvement
• Strong ML fundamentals: know which approach fits which problem and reason clearly about tradeoffs.
• Comfort with ambiguity: taken loosely defined problems and turned them into something running in
• Solid engineering skills: production-quality code, familiarity with distributed systems, patience

🎁 Benefits

• AI fluency is a core expectation at Sword. Every candidate is assessed against a three-level
• Bonus points: experience with fine-tuning or preference optimization (RLHF, DPO), healthcare AI or
• Total Compensation Range: €66,500 - €104,500 EUR