Hire AI Engineers in India for UK Companies
Building AI capability in India works when the first hires are chosen for what they have run in production, not the models they can name. Talhive runs dedicated search for UK scale-ups and enterprises building an AI team in India.
- Judged on production evidence
- Milestone-based fees
- 90-day replacement guarantee
The quality of a search is determined early. Start with the role, the context, and what a strong hire looks like at 12 months.
Your details are held in strict confidence and are not shared with third parties.
Received.
A senior team member will review your enquiry and respond directly.
Scale-up ambition, enterprise caution: building AI in India
Two kinds of UK employer come to us. A scale-up wants speed: a lead and a few engineers on a product customers already use. A larger enterprise wants control: capability inside existing governance, with someone senior who can explain it to a risk committee.
Both need people who have taken AI work into production. Talhive runs dedicated engineering and AI hiring in India for UK employers. We recruit in India, not in the UK, and we do not run contract staffing. For the wider route, see our hub for UK employers.
Starting an AI team small, then growing it
The order of hires matters more than their number.
- Stage one01
The first lead.
- Someone who has shipped and run AI work
- Authority to say no to work that is not ready
- Stage two02
Engineers around the lead.
- Machine learning and platform engineers who ship
- The lead sits on every interview
- Stage three03
Specialists later.
- Research, evaluation or data specialists
- Hired against a real gap, not a headcount plan
- Stage four04
Review before the next wave.
- Notice-period tracking and a 90-day replacement guarantee
- A frank look at what the team needs next
ML engineers, data scientists and AI platform leads
Titles overlap across companies, so we agree what each role owns first.
Machine learning engineer
Builds, deploys and maintains models inside a real product. See AI engineer, ML engineer and data scientist.
AI platform lead
Owns the tooling, deployment and monitoring that let others ship AI safely. Often the second hire.
Head of AI
The senior owner of AI strategy and delivery. See how to hire senior AI engineers in India.
Reading a CV for production AI work
Keywords describe interest. Production evidence describes ability.
What was shipped.
We ask what reached users, in what form, and what the candidate personally owned. A notebook and a service customers depend on are different achievements.
How it was monitored.
A model that works at launch and drifts later is common. Candidates who describe how they noticed and fixed problems have usually run the work.
Who used it.
Work with real users carries trade-offs research does not. We look for candidates who can name the people affected.
Regulated sectors and AI: points to settle early
Three separate decisions, none answered by the search itself.
Data handling.
Decide early what data the India team may see and where it may sit. Take legal advice on your obligations.
Model oversight.
Say who reviews a model before it affects a customer. Senior candidates ask, and a clear answer is a reason to join.
The hiring route.
Employment through your own entity, an employer of record or another partner is a separate decision. See GCC, employer of record and agency models. Take legal and employment advice.
How UK working hours shape the India team
Two common patterns, in qualitative terms. Choose one on purpose.
What UK AI leaders ask about India hiring
Plain answers to the questions we hear most often about this search.
Share your AI hiring plan with a founder
Describe the team you want and a founder will respond.
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