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Harnham

Principal AI Engineer

London
£130k – £170k/yr
Posted 28 days ago
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Principal AI Engineer

London, Hybrid (2-3 Days in London)
£130,000 - £170,000

A high-impact opportunity to lead the development of advanced AI systems in a fast-scaling, product-led environment. This role offers significant technical ownership, the chance to shape AI strategy, and exposure to cutting-edge technologies at scale.

The Company

They are a rapidly growing, data-driven organisation placing AI at the core of their innovation strategy. With a strong engineering culture and clear investment in modern infrastructure, they are building intelligent products that deliver real commercial value. Teams are empowered, collaborative, and focused on delivering measurable impact.

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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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

  • Design and deploy production-grade AI and machine learning systems
  • Lead the development of scalable models and architectures
  • Drive best practices across MLOps, experimentation, and deployment
  • Collaborate with data, engineering, and product teams
  • Influence technical direction and AI strategy

Your Skills & Experience

  • Strong commercial experience building and deploying AI and ML solutions
  • Expertise in Python and modern machine learning frameworks
  • Experience with cloud platforms and scalable data systems
  • Solid understanding of MLOps and model lifecycle management
  • Ability to operate autonomously and influence technical decisions

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What They Offer

  • Salary up to £170,000
  • Strong technical ownership and progression opportunities
  • Access to modern AI tooling and infrastructure
  • Collaborative, high-performance engineering culture
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Skills

AI
Machine Learning
Python
MLOps
Cloud Platforms
Data Systems
Model Lifecycle Management

Location

London, England, United Kingdom

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