Senior Research Engineer - AI for Biology

Cubiq Recruitment — United Kingdom · Posted ~1 day ago

Senior Onsite Visa Sponsored £130000-£230000 base + equity

Skills

AI Research Engineering Distributed Training GPU Computing Machine Learning Training Pipelines Foundation Models

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Summary ✨ AI‑Generated

Join a frontier-style AI research environment as a Senior Research Engineer working on foundation models for the life sciences. You will own distributed training systems, GPU infrastructure, and research pipelines built around exceptionally large and diverse scientific datasets. The role offers substantial compensation, equity, and relocation and visa support.

Highlights

Highly competitive base compensation plus equity, relocation support and visa sponsorship, and the opportunity to build large-scale training infrastructure for advanced foundation models using unique scientific datasets.

Description

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 Industry experience at an AI lab where research engineers are key contributors. They have been clear that this search favours people from industry over purely academic backgrounds.Full-stack depth: distributed training frameworks such as Megatron-LM, DeepSpeed or FSDP, GPU performance work, and experience down to the CUDA, Triton or XLA level.Contributions to open-source ML frameworks or research codebases. They genuinely value this.Strong software engineering habits. Clean code, good tests, a focus on performance, and systems other people can build on.Real curiosity about biology. You do not need bio experience, but the prospect should excite you. 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.