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Artificial Intelligence Engineer

London
£90 – £125/hr
Posted about 12 hours ago
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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.

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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.

  • 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.

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Skills

Artificial Intelligence
Machine Learning
Agent-based Systems
Data Infrastructure
Testing Frameworks
AWS Bedrock
AgentCore
Azure AI Foundry
Google Cloud Vertex AI
Agent Builder
Reasoning Pipelines
Production-grade AI

Location

London, England, United Kingdom

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