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Artificial Intelligence Engineer

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Front Office AI Engineer – Financial Services
Contract - £1000pd Inside IR35
Hybrid working - London
An exciting opportunity to join a leading financial-services organisation building a next-generation AI-powered investment platform for its Front Office business. Working within a small, high-profile team, you will build production-grade AI, ML and agent-based systems that improve investment decision-making and execution.
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.
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.
See breakdownIt 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.
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.
- Develop reliable ML and reasoning pipelines, data infrastructure, testing frameworks, and controlled deployment processes.
- Ensure systems are reproducible, auditable, and suitable for a regulated environment.
- Work closely with investment professionals, quants, risk, and technology teams.
- Use enterprise AI platforms such as AWS Bedrock and AgentCore, Azure AI Foundry, or Google Cloud Vertex AI and Agent Builder.


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This is an excellent opportunity to take significant ownership of a greenfield platform, solve complex engineering challenges, and directly influence how a leading financial-services organisation applies AI across its investment process.
“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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