AI, GenAI and Machine Learning
AI, GenAI and machine learning recruitment.
Job titles in AI change faster than the work does. We hire against what the person will actually build: a model, a data pipeline or an AI product.
Skills and stacks
What we screen for
These skills come up most often in our AI, GenAI & ML briefs. Your calibrated brief decides which ones matter for your role.
Roles we hire
- Machine learning engineers
- Applied and research scientists
- GenAI / LLM engineers (RAG, fine-tuning, evaluation)
- MLOps engineers
- Computer vision and NLP specialists
- AI product managers
- Heads of AI
Our approach to AI, GenAI & ML hiring
What makes this market hard
The same title means very different work from one company to the next. Production experience is much harder to find than demo experience, and pay expectations shift quickly as demand moves.
How we approach it
We separate research, applied and platform profiles at the brief. Screening looks for shipped systems, evaluation practice and scale, so you are not left to discover the difference in a technical round.
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Questions
Frequently asked
Other specialisms:
Can you assess GenAI experience?
We screen for evidence: systems shipped to users, how the candidate evaluated model quality, and the scale they worked at. The final technical assessment stays with your team, and we can coordinate it.
Do you hire AI leadership?
Yes. Heads of AI and data leadership roles run as executive technology searches, with a confidential approach.
Which hiring model suits AI roles?
Core AI roles are usually permanent hires. For a defined project, such as a proof of concept, contract or contract-to-hire can reduce risk. See Hiring Models.
Hiring in AI, GenAI & ML?
Tell us what the role needs to deliver. We will start with a calibrated brief.