Principal Machine Learning Engineer - Applied AI & LLMs (x/f/m)
Doctolib · Paris, Paris, France · GB
Posted 60+ days ago
Health Tech
On-site
Not yet analysed
Demand80
Career growth85
Healthcare fit40
Remote potential60
5-year outlook
Competitive for senior ML roles in European health tech, with strong growth potential as AI adoption in healthcare expands.
Clinical license
Not required
Applicant reach
broad
Seniority
senior
Employment type
–
Date found
2026-08-26
Intelligence details
Why this is worth applying to
Only for clinicians with deep ML engineering experience (10+ years) and a PhD in CS/AI; otherwise, the experience barrier is too high for most clinicians.
Who should apply
Clinicians with a PhD in computer science or AI, extensive ML engineering experience, and a track record of leading complex technical initiatives in healthcare AI.
CV angle
Highlight clinical domain expertise as a differentiator for healthcare AI, and emphasize any ML research, model deployment, or evaluation work done in clinical settings.
Skills to highlight
- Python
- PyTorch
- LLM fine-tuning
- Model evaluation
- AWS/GCP
- Clinical NLP
- Agentic systems
- Cross-team leadership
Role summary
Principal Machine Learning Engineer at Doctolib, leading cross-team AI architecture, evaluation frameworks, and production infrastructure for healthcare AI solutions.
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