RevTech
Head of AI Engineering

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Head of AI Engineering
📍 Mainly remote, 2 days a month onsite in London
đź’¸ Up to ÂŁ140k + Bonus & Benefits
This is a newly created Head of AI Engineering opportunity within a growing Data & AI practice, where you’ll take ownership of an existing team of 9 AI Engineers and help shape how enterprise-scale AI solutions are engineered and delivered.
Rather than building a team from scratch, you’ll inherit an established capability and have the autonomy to define the engineering standards, culture, technical direction and operating model that will support its next stage of growth.
The opportunity
You’ll sit alongside senior leadership and work closely with the Practice CTO, taking ownership of the AI Engineering function across:
- Leading, developing and growing a team of 9 AI Engineers
- Defining engineering standards, best practices and ways of working
- Providing technical leadership across complex AI and GenAI engagements
- Shaping approaches across AI Engineering, MLOps, LLMOps, DevSecOps and cloud-native delivery
- Supporting major bids, proposals and pre-sales activity
- Working directly with senior clients to shape AI solutions and solve complex challenges
- Providing technical governance and delivery assurance across enterprise programmes
- Helping shape the wider AI proposition, innovation agenda and go-to-market strategy
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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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.
You’ll ideally have:
- A genuine AI/ML engineering background, having progressed through an engineering career into leadership
- Experience leading AI/ML engineering teams, rather than purely Data Science, Analytics or Architecture functions
- Strong technical understanding across areas such as GenAI, LLMs, AI agents, RAG, ML and cloud AI platforms
- Experience delivering AI solutions into live, enterprise environments
- A track record of establishing engineering standards and modern practices across MLOps/LLMOps/DevSecOps
- Strong consultancy and pre-sales experience, including bids, proposals, solution shaping and client presentations
- The ability to communicate complex technical concepts clearly to senior technical and business stakeholders


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This is an opportunity to move beyond simply managing delivery and take genuine ownership of an AI Engineering capability.
You’ll have an established team, significant visibility with senior leadership, direct client exposure and the opportunity to influence how AI engineering is delivered across a major European technology organization.
Benefits:
- Up to 10% bonus
- ÂŁ6,600 car allowance
- 25 days annual leave + bank holidays, with option to buy additional days
- Private medical
- Life assurance
- Flexible benefits fund
SC clearance eligibility is required, but existing SC clearance is not essential. Sponsorship is not available.
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