Harnham
AI Engineer

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AI Engineer
Location: London (Hybrid, 3 days per week)
This is an opportunity to join a newly formed AI function at a pivotal stage of growth. You'll work on high-impact AI initiatives across machine learning, Generative AI and Agentic AI, helping to shape how AI is adopted and scaled across a major organisation.
The Company
Our client is investing significantly in AI as part of a large-scale transformation programme. Operating through a central AI Centre of Excellence, they are building scalable, production-ready AI solutions that deliver measurable business value. This is a chance to join early, influence standards and best practice, and play a key role in a growing AI engineering team.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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.
The Role
You will:
- Design, build and deploy AI and machine learning solutions from concept to production
- Develop applications using LLMs, Generative AI and Agentic AI frameworks
- Deliver predictive, optimisation and automation use cases
- Build robust MLOps and LLMOps processes, including monitoring and evaluation
- Work closely with engineers, data scientists, product teams and business stakeholders
- Help establish AI engineering standards, governance and responsible AI practices
- Contribute to the long-term technical direction of the AI team


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Your Skills & Experience
- Strong Python and software engineering background
- Commercial experience delivering machine learning models into production
- Hands-on experience with GenAI, LLMs and AI application development
- Knowledge of MLOps, LLMOps, CI/CD and containerisation
- Experience with cloud platforms, ideally Azure
- Understanding of model evaluation, monitoring and responsible AI
- Strong communication skills with the ability to translate business requirements into technical solutions
Desired Skills and Experience
AI Engineer
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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