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Senior AI Research Engineer

United Kingdom
Visa Sponsorship Relocation
This Job is No Longer Active This position is no longer accepting applications

Join a small, highly technical AI research group building systems and infrastructure behind next-generation biological foundation models. Work closely with researchers to improve training performance, increase experimentation velocity, and help scale ambitious model development efforts. Strong candidates will come from environments where large-scale model training and systems optimisation are core to the work.

Key Highlights
Distributed training
Accelerator optimisation
Experiment orchestration
Large-scale data infrastructure
Research tooling
Key Responsibilities
Join a small, highly technical AI research group building systems and infrastructure behind next-generation biological foundation models.
Work closely with researchers to improve training performance, increase experimentation velocity, and help scale ambitious model development efforts.
Improve training performance, increase experimentation velocity, and help scale increasingly ambitious model development efforts.
Technical Skills Required
PyTorch JAX internals CUDA XLA Triton Kubernetes Orchestration tooling
Benefits & Perks
Globally competitive compensation
3 days on site ideally but open to flexibility
Visa sponsorship available
Relocation support available
Nice to Have
Experience in biology is not required

Job Description

London | Visa Sponsorship & Relocation Support Available

Compensation: globally competitive

Days on site: 3 days ideally but open to flexibility

We’re partnered exclusively with one of Europe’s most ambitious AI research organisations working at the intersection of large-scale foundation models and biological intelligence.

The team is building frontier-scale generative models trained on one of the world’s largest proprietary biological datasets, with data scale expected to reach world leading token territory over the next 18 months.

This is not a traditional biotech company and it is not a standard ML engineering role.

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