_{02nd January, 2026}

We’re hiring: Director, ML Engineering & Infrastructure (TechBio)
You will lead a small, high-impact team responsible for large-scale training systems, data pipelines, and research platforms that support foundation model development and rapid experimentation.
We’re working with a brilliant TechBio who are building AI systems at the intersection of machine learning and biology—and we’re looking for a senior engineering leader to own the infrastructure that makes research move fast.
This role is about enabling scientists: making large-scale model training simple, data access seamless, and experimentation reproducible by default. You’ll lead a small, elite platform team that powers foundation models trained on large, complex biological datasets (genomics, multi-omics, clinical).
What you’ll do

• Build and scale distributed training infrastructure for large ML models
• Own data pipelines from raw biological data → ML-ready formats
• Create researcher-friendly platforms for experiments, tracking, and reproducibility
• Manage cloud + on-prem compute and keep costs under control
• Lead and grow a high-impact team of ML/platform engineers

Who you are

• 5+ years building ML or research infrastructure
• Deep experience with distributed training (PyTorch, DeepSpeed, Ray, etc.)
• Strong software engineering + cloud/Kubernetes background
• Comfortable in fast-moving research environments
• Bonus: experience with scientific or biological data

This is a hands-on leadership role with real ownership and direct impact on how AI-driven biology gets done.
Location: London
Sector: TechBio / AI + Biology
Company: confidential (details shared during process)
Get in touch with the team @KEMIO Consulting  to find out more or schedule a confidential discussion.
  
London, Tech Bio, ML Ops, ML Engineering , Director, AI , Drug Discovery,  

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