Talent Mapping · Technology
Mapping the global AI engineering market
A scaling platform needed to know where the world’s AI engineers really sit before committing to a hiring plan.
4,200 candidates mapped across 6 hubs
Proof, not promises. Every engagement is bespoke — but the pattern is consistent: better intelligence, faster hires and a lower cost of talent. Here is a selection of the results we’ve delivered for clients around the world.
Filter by service to see how our research-led approach plays out in practice.
A scaling platform needed to know where the world’s AI engineers really sit before committing to a hiring plan.
A regulated business needed a discreet, senior appointment without alerting the market or the incumbent.
A pharma client was opening a new R&D site and needed engaged candidates ready before roles went live.
Agency fees were climbing for roles the internal team had no time to source directly.
Two shortlisted cities looked similar on paper; the client needed evidence to choose.
Internal networks kept producing the same names for a leadership role.
After a bruising framework audit, the client needed files rebuilt and kept audit-ready.
Seasonal pressure meant unfilled shifts and strained client relationships.
Consultants were burning out on a rotating on-call phone.
A financial-services client was making numerous senior hires and paying up to 30% placement fees on each one — an unsustainable cost of growth.
We replaced contingency search with research-led talent maps and project-based searches, giving the client direct access to qualified candidates and full market visibility.
Across a year of hiring, the client saved a total of £390,650 versus agency fees — without compromising on quality, and with the data and pipelines theirs to keep.
“An astonishing figure, and a real testament to the potential of your model to deliver great quality at a very competitive price point.”Global Head of Talent Acquisition · Financial Services
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