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KEMIO Consulting
Head of MLOps and AI Infrastructure

Head of MLOps and AI Infrastructure

On site

London, United kingdom

Senior

Full Time

27-02-2026

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Skills

Leadership Kubernetes Research Training Machine Learning PyTorch Artificial Intelligence

Job Specifications

Director, ML Engineering & Infrastructure (TechBio)

You will build and lead a 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 Biotech 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 an 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
10 Years commercial leadership experience
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: Biotech / 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, Artificial intelligence, AI Infra, Cloud computing,

About the Company

-, Pharmaceutical and Biotech to improve human health. Our team has a vast personal history supporting Pharma, TechBio, CROs and Biotech to build world class teams in Drug Discovery, AI/ML and Computational Sciences in the , . We understand the challenges hiring managers face: the time-consuming process of identifying qualified candidates, sifting through hundreds of applicants, and finding people with the right skills for specialised roles. We aim to remove this burden, handling all or parts of the recruitmen... Know more