
Senior ML Engineer
Sword Health
full-time
Posted on:
Location Type: Hybrid
Location: Anywhere in Europe
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Job Level
Tech Stack
About the role
- Architect & Build: Contribute to designing, evaluating, and shipping our mental health AI Agent and its supporting infrastructure (including safeguards and system alerts);
- Data Strategy: Develop and maintain robust data pipelines to power model training and evaluation;
- Collaborate: Partner with AI Research, Product, and Engineering teams to define new features. You will bridge the gap between Research and Engineering, making ongoing knowledge sharing vital;
- Drive Innovation: Spearhead initiatives to integrate new AI/ML capabilities, navigating technical uncertainty and balancing time-to-value tradeoffs.
Requirements
- ML Expertise: 4+ years of professional experience in Machine Learning, with a track record of deploying and maintaining LLMs in production;
- LLM Proficiency: A deep understanding of LLM architecture and the orchestration of complex applications (e.g., Claude Code, Codex, OpenCode);
- Technical Stack: Proficiency in Python and SQL (TypeScript is a plus) alongside modern software development best practices;
- Leadership: Proven ability to own ambiguous projects from ideation through maintenance, providing technical mentorship to peers;
- Communication: The ability to translate complex technical concepts for both technical and non-technical stakeholders.
Benefits
- A stimulating, fast-paced environment with lots of room for creativity;
- A bright future at a promising high-tech startup company;
- Career development and growth, with a competitive salary;
- The opportunity to work with a talented team and to add real value to an innovative solution with the potential to change the future of healthcare;
- A flexible environment where you can control your hours (remotely) with unlimited vacation;
- Access to our health and well-being program (digital therapist sessions);
- Remote or Hybrid work policy.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningLLM architecturePythonSQLTypeScriptdata pipelinesmodel trainingmodel evaluationAI/ML capabilitiessoftware development best practices
Soft Skills
leadershipcommunicationcollaborationtechnical mentorshipinnovation