Senior Research Engineer | AI for Biology
Central London · On-site · £130,000 to £230,000 base + equity
Relocation support provided, including Visa Sponsorship for candidates working at a frontier lab offices based out of the UK.
Build the training systems behind foundation models trained on data no other lab has.
I'm working with a London AI research company that trains large foundation models for the life sciences. They own a biological dataset that is bigger and more diverse than anything public. They collected it themselves from environments most datasets never touch. Big Tech labs cannot copy their models by throwing compute at public data, because the data itself is the moat that took years to secure. This is truly a herculean task.
Compute is not a bottleneck. The research team runs like a frontier lab rather than a typical biotech and we're looking to add multiple hires.
The role
You will own the systems that power their research: distributed training pipelines, GPU optimisation, experiment frameworks, and the tooling that lets a team work at frontier scale. You sit inside the research team and report to the Head of AI Research. Your decisions shape what experiments are possible and how fast ideas move from whiteboard to result. Custom architectures on new data types. Training runs that push hardware limits. A pace of experimentation that demands robust, flexible tooling.
What they want
Pay and process
£130k to £230k base depending on experience, plus meaningful equity. They will stretch above the top of the band for an exceptional candidate from a frontier lab. The interview process is rigorous so before the technicals candidates will have a more informal chat with the Head of Research before fully commiting. Expect a technical round on ML fundamentals, hands-on coding, and end-to-end systems design.
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