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Harnham

AI Engineer

London
£75k – £85k/yr
Posted about 19 hours ago
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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.

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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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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.

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.

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Strong

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.

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Strong

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

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Skills

Python
Software Engineering
Machine Learning
Generative AI
Agentic AI
LLMs
MLOps
LLMOps
CI/CD
Containerisation
Azure
Model Evaluation
Responsible AI
Communication Skills

Location

London, England, United Kingdom

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