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AI Engineering Leader

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🚀 AI Engineering Leader | High-Growth Technology Business 📍 UK – Hybrid / Flexible
I’m working with an ambitious, high-growth technology business looking to hire an AI Engineering Leader to take ownership of its AI engineering capability and help shape the next phase of its technical journey.
This is a fantastic opportunity for an experienced engineering leader who combines strong hands-on AI/ML expertise with the ability to build, lead, and develop high-performing engineering teams.
You’ll play a key role in defining the technical direction of the AI function, taking AI products and capabilities from concept through to production, while working closely with senior leadership and wider product and engineering teams.
What you’ll be doing:
- Leading and growing a high-performing AI/ML engineering team
- Setting the technical direction and engineering standards for AI development
- Designing and delivering production-grade AI/ML systems
- Driving the development of GenAI and LLM-powered products and capabilities
- Taking ownership of architecture, scalability, reliability, and performance
- Working closely with Product and senior stakeholders to turn business problems into technical solutions
- Mentoring engineers and creating a strong engineering culture
- Remaining close enough to the technology to provide genuine technical leadership and challenge
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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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.
What we’re looking for:
- Strong experience leading AI, ML, or software engineering teams
- A proven background building and deploying AI/ML products into production
- Strong software engineering foundations, ideally with Python
- Commercial experience with LLMs, Generative AI, and modern AI architectures
- Experience working with cloud infrastructure and production ML/AI systems
- A track record of hiring, mentoring, and developing engineers
- Comfortable operating in a fast-paced, high-growth environment
- Able to balance strategic leadership with hands-on technical involvement


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This would suit someone currently operating as an AI Engineering Manager, Head of AI, Head of Machine Learning, AI Engineering Lead, or Senior/Staff AI Engineer who is ready to take on broader technical and people leadership responsibility.
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