Senior ML Engineer

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 that catch quality drops before they reach users;
• Improve model quality with whatever fits the problem: prompting, retrieval, distillation, or fine-tuning, chosen on evidence rather than habit;
• Work across the full AI stack: data prep, model adaptation, serving, monitoring, and the feedback loops that keep systems improving in production;
• Partner with Product, Clinical, and Engineering: translate clinical requirements into technical decisions and surface tradeoffs early;
• Help the team get better: review code, share what you learn, and mentor engineers earlier in their careers.

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;
• 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.

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

*The range below reflects base, variable, and equity for this role.

This is a starting point, not a ceiling — once someone joins and proves they're outlier talent, we adjust quickly to make sure their compensation matches their impact.

Job titles may span more than one career level, so actual pay depends on skills, qualifications, experience, location, and market demand, among other factors. The range reflects base salary plus any variable, bonus, or sales incentives, and our estimate of the value of private company stock options where applicable. It's subject to change, and future stock value isn't guaranteed. Sword also offers additional benefits beyond total compensation.

Total Compensation Range

€60.000

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€85.000 EUR