Technical Search & Talent Intelligence
Talent Intelligence Report — January 2026

Anthropic London Research Engineering Talent Map

Data-driven insights from 94 candidates across 42 target companies. Strategic intelligence for building a world-class AI safety research team in London.

94
Candidates Mapped
42
Target Companies
50%
PhD Rate
61%
Relocated Internationally

What's Inside

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Key Insights

33%

Single Source Dominance

Google DeepMind accounts for 31 of 94 candidates, reflecting its position as the primary talent source for frontier AI research in London.

61%

International Mobility

Compared to only 30% of the current Anthropic team. This candidate pool is highly mobile, reducing relocation friction concerns.

8.4/10

Average Candidate Score

Exceptionally strong pipeline with 15 candidates scoring 10/10 and 80% scoring 7 or above.

23.4%

Diversity Gap Alert

Female representation in the candidate pool trails the current team's 28.6%. Targeted sourcing strategies recommended.

Douglas Gambling

Douglas Gambling

Founder, Discovr

I help scaling AI companies build world-class ML teams through data-driven talent strategy and executive search. Previously Head of Talent at multiple high-growth tech companies, with experience across Europe, the US, and Asia.