Senior Machine Learning Engineer - Orchestration - Applied AI & LLMs (x/f/m)
Doctolib · Paris, Paris, France · GB
Posted 60+ days ago
Health Tech
On-site
Not yet analysed
Demand85
Career growth90
Healthcare fit25
Remote potential50
5-year outlook
Competitive senior engineering salary in European tech market, with strong growth potential as AI in healthcare expands. Exact figures depend on location and company equity.
Clinical license
Not required
Applicant reach
moderate
Seniority
senior
Employment type
–
Date found
2026-08-26
Intelligence details
Why this is worth applying to
Only consider if you have deep ML engineering experience and a passion for healthcare AI. For most clinicians without tech skills, this role is not a fit; focus on roles that leverage clinical expertise directly.
Who should apply
Clinicians with MSc/PhD in CS/ML and 7+ years of LLM experience, or those transitioning from clinical roles with strong data science and engineering backgrounds.
CV angle
Highlight any clinical or medical domain experience as a unique advantage, but emphasize ML engineering skills, evaluation pipelines, LLM expertise, and experiment design. Frame clinical experience as domain knowledge for healthcare AI safety.
Skills to highlight
- LLM evaluation
- Experiment design
- Python
- Agentic systems
- Metrics definition
- Automated pipelines
- Research collaboration
- Healthcare AI ethics
Role summary
Senior ML engineer responsible for defining and implementing evaluation strategies for an AI health assistant, ensuring safety, reliability, and helpfulness for patients and practitioners.
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