Senior ML Engineer at Sword Health

Sword Health seeks an experienced machine learning engineer to develop AI solutions powering personalized clinical care. The Applied AI Team builds end-to-end AI treatment management systems handling complete care pathways. The work spans the full AI stack: prompt engineering, RAG implementations, model fine-tuning, and agentic workflows.

Key Responsibilities

Design, build, evaluate, and ship AI/ML products

Develop and maintain data processing pipelines for model training and evaluation

Collaborate with Product, Data & Engineering teams on AI-powered features

Mentor colleagues and share ML systems expertise

Define best practices for the AI/ML function

Identify opportunities to add AI/ML capabilities to products

Required Qualifications

4+ years professional ML experience

Hands-on production ML systems implementation and maintenance

Proficiency in SQL and Python with production software development experience

Knowledge of Python data stack (numpy, pandas, matplotlib, scikit-learn)

Experience leading complex projects from conception through maintenance

Technical oversight and mentoring capabilities

Desired Qualifications

Experience shipping applications using LLMs and Generative AI

Cloud platform experience (GCP or AWS)

Data pipeline building experience

Benefits

Salary range: EUR 60,000-80,000

Remote/hybrid flexibility

Unlimited vacation

Equity shares

Health insurance

Meal allowance