Datatech Analytics
AI Engineer
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AI Engineer | London SE1 | Hybrid, 3 days on-site | £80,000 – £90,000 DOE
The Role
A household name UK consumer services business, sitting on tens of millions of operational events a year. The kind of dataset most AI teams only dream about. A year ago there was no AI function. Now there's Data Science, Data Engineering, Product and AI Engineering, squadding up around a problem and owning the product end to end.
What comes next is yours to build
- Take ML and AI systems from ideation to production, and stay with them afterwards
- Build GenAI applications on LLMs and orchestration frameworks, with evaluation, safety and cost designed in from day one
- Write clean, production-grade Python for cloud-native environments
- CI/CD, containerisation, monitoring, observability as standard
- Watch live models for drift and degradation, and act on it
- Turn business problems into AI solutions, then explain them to people who don't speak Python
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Non negotiable - read before applying
- Python — production-grade. There's a live coding exercise.
- ML, full lifecycle — framing, training, deployment, monitoring, retraining. In production, not in a notebook.
- GenAI / LLMs — built and shipped to real users.
- Azure & Databricks — not expert level, but real cloud experience you can talk through.
- MLOps — CI/CD, containerisation, monitoring, evaluation frameworks.
Not for architects, and not for anyone who hasn't owned deployment.
Package
£80,000 – £90,000 DOE, - car allowance - bonus (non-contractual, paid out four years running), single-cover private medical
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Interview Process
- 30 mins with the Head of AI Engineering — walk through a project you owned end to end.
- 90 mins live Python and a deep dive with the current AI Engineers.
- Then in person culture fit with the Head of AI Engineering and Director of AI
The Why
They've proved the function works. The next twelve months are about scale, and this hire is senior enough to shape that, not just deliver against it. Greenfield problems, short paths to production, start-up pace with a renowned business underneath it.
Apply here or message me for a confidential conversation. justin.toomey@datatech.org.uk
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