Senior Staff Machine Learning Engineer (Drug & Target Discovery) — Senior Technical Lead
Ready to build the ML backbone behind next- 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.
Deep Expertise
- 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.
#J-18808-Ljbffr”, “datePosted”: “2026-05-20”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Energy Jobline ZR”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__437369639__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=11431” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “Fitzrovia” } } }Senior Staff Machine Learning Engineer (Drug & Target Discovery) — Senior Technical Lead
Ready to build the ML backbone behind next- 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.
Deep Expertise
- 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.
#J-18808-Ljbffr…