AI recruitment and search

Research, machine learning and applied AI hiring, from individual contributors to the people who lead them.

United Kingdom · Europe · Middle East · North America

Overview

How we approach artificial intelligence hiring

AI hiring rarely fails on sourcing. It fails on calibration: briefs written for a generalist market, interview loops that cannot separate research taste from tooling familiarity, and offers benchmarked against the wrong comparator set.

We work only inside a narrow band of technology markets, so an AI brief is scoped by someone who can discuss post-training, evaluation design or inference economics before a single profile is sent.

  • 01

    Research

    Research scientists and research engineers across pre-training, post-training, alignment and evaluation.

  • 02

    Machine learning engineering

    Model development, fine-tuning, retrieval, agents and production ML systems.

  • 03

    ML platform and MLOps

    Training infrastructure, GPU scheduling, serving, observability and inference performance.

  • 04

    Data

    Data engineering, data platform and analytics functions that AI teams depend on.

  • 05

    Applied AI product

    Engineers and product specialists shipping AI features to real users.

Roles we recruit

Mandates handled inside this practice

  • Research Scientist / Member of Technical Staff
  • Research Engineer, pre-training and post-training
  • Machine Learning Engineer
  • Applied AI / LLM Engineer
  • ML Platform and Inference Engineer
  • Data Engineer and Analytics Engineer
  • Head of AI, Director of ML, VP AI
Who we work with

The teams that brief us

  • Research labs and foundation model teams
  • Applied AI product companies from seed through growth stage
  • AI infrastructure and developer tooling businesses
  • Enterprises building internal AI capability
Engagement

Permanent, contract and leadership search

Permanent

Permanent AI search is run as a mapped process rather than a database query. We agree the comparator set, the seniority bar and the evaluation signals up front, then work the market systematically.

Contract and interim

Contract and fractional engagement for time-boxed work: evaluation build-outs, model migrations, platform hardening and interim leadership while a permanent search runs.

Leadership search

Head of AI, Director of Machine Learning and VP-level appointments are handled as confidential leadership search inside this practice.

For candidates

A confidential conversation, not a CV database

If you work in research or machine learning, a conversation with us is confidential and carries no obligation. We will tell you plainly when a role is not right for you.

Related opportunities

Searches in this practice

Representative searches illustrate the type and seniority of mandate we run. They are not currently available positions.

Questions

AI hiring, answered

Do you recruit research scientists as well as engineers?
Yes. We cover research and engineering across the same teams, including research engineers who sit between the two.
Can you work with pre-product AI startups?
Yes. Founding engineer and first-research-hire searches are a regular part of this practice.
Do you cover AI infrastructure roles?
Yes, including training infrastructure, GPU platform, serving and inference performance engineering.

Speak with a search partner.

Tell us what you are building or where you want to go next. Every conversation is confidential.