Senior Staff ML Engineer

Job description

Senior Staff Machine Learning Engineer (Drug & Target Discovery) — Senior Technical Lead

Ready to build the ML backbone behind next-generation human health discovery?

We’re partnering on a retained search for a Senior Staff / Principal-level Machine Learning Engineer to lead the design, training, and deployment of frontier ML systems across multi-omics, biomarker discovery, target discovery, genomics, and multimodal biomedical data.

This is a rare opportunity to translate cutting-edge research into robust, production-grade systems that can improve how new treatments are discovered and developed.

We’re looking for senior candidates with deep expertise in:

• Deep learning and modern ML systems

• Distributed training and GPU infrastructure

• MLOps, deployment, and reliability at scale

• Biomedical, genomics, or drug discovery ML

Requirements

• 7+ years relevant post PhD experience Experience productionising foundation models and model components
• Experience introducing training efficiencies into large model architectures
• Experience working within engineering best practice frameworks Biological/Clinical data domain knowledge
• Experience setting technical direction Experience leading implementation initiatives
• Experience leading junior engineers in a matrixed environment
• Experience mentoring junior engineers Understanding of pharma R&D

London-based opportunity.

KEMIO Consulting is leading this confidential search and would welcome discreet conversations with senior candidates.

Apply now or contact Eugene at KEMIO Consulting to discuss in more detail.

#MachineLearning #AIinHealthcare #DrugDiscovery #Genomics #MLOps #BiotechJobs #HealthTech #TechnicalLeadership

Extra information

Status

Open

Education Level

Secondary School

Location

London Area

Type of Contract

Full-time jobs

Published at

02-05-2026

Profession type

ICT

Full UK/EU driving license preferred

No

Car Preferred

No

Must be eligible to work in the EU

No

Cover Letter Required

No

Languages

English