
Research Engineer, RL Scaling Science
Anthropic · London, United Kingdom
Evidence
The posting says Anthropic sponsors visas, and Anthropic is on the UK Home Office register.
Sponsor register
UK Home Office Register of Licensed Sponsors
Listed as Anthropic Limited. London · Skilled Worker route · A rating. Snapshot 26 Oct 2026.
Job posting
Visa sponsorship: We do sponsor visas!
On job-boards.greenhouse.io/anthropic, read 26 Oct 2026.
Still open
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First seen 25 Oct 2026. We check every day and remove closed roles.
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Being on the register means Anthropic can sponsor visas. It doesn’t confirm this role qualifies, so check with the recruiter.
About the role
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role Anthropic's RL Scaling Science team studies how reinforcement learning behaves as we scale it (across model size, compute, and task horizon) and turns that understanding into the training recipes behind our frontier models. As a Research Engineer on this team, you'll design and run large-scale experiments to understand and resolve bottlenecks, build the benchmarks that make long-horizon progress measurable, and ship validated findings directly into production training.
This role lives at the boundary between research and engineering. The problems are open, the experiments run at frontier scale, and the path from a robust result to production is short.
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We sponsor visas for exceptional candidates and provide relocation support for those moving to London.