Noir
Forward Deployed Engineer

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Forward Deployed Engineer – AI & Digital Innovation – Financial Services – London / Hybrid
(Tech stack: Forward Deployed Engineer, AI, Agentic AI, LLMs, LLM Integration, AI Agents, Retrieval, Tool Use, Context Orchestration, Evaluations, Guardrails, Observability, Human-in-the-Loop, Automation, Cloud, Data Management, System Integration, Forward Deployed Engineer)
Are you a hands-on AI Engineer, Forward Deployed Engineer or technology specialist who enjoys solving real business problems rather than building technology in isolation? This is an opportunity to work at the intersection of AI, technology and financial services, taking AI use cases from initial discovery through to production deployment and measurable business impact.
Our client is an established financial services organisation with a sophisticated, regulated technology environment and a strong focus on innovation. You will work directly with business units and support functions to understand their workflows, identify where AI can create genuine value and turn those opportunities into practical, scalable solutions.
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.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- You will lead AI initiatives end-to-end, from discovery and scoping through prototyping, implementation, rollout and continuous improvement.
- This includes designing, building and adapting AI agents and AI-enabled workflows around real business processes, while ensuring solutions meet the security, governance, privacy and regulatory requirements of an enterprise financial services environment.
A major focus will be understanding complex business processes and translating them into practical AI solutions. You will facilitate workshops with business stakeholders, identify and prioritise high-value use cases, monitor deployed agents and measure their adoption, performance and business impact. You will also capture learnings from deployments and turn them into reusable patterns and scalable approaches across the organisation.


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The ideal candidate will have:
- Hands-on experience building and deploying technology solutions within complex enterprise environments.
- A strong understanding of modern AI systems and agentic workflows.
- Experience across LLM integration, retrieval, tool use, context orchestration, evaluations, guardrails, observability and human-in-the-loop workflows will be highly valuable.
- Experience within financial services, wealth management, banking, investment, risk, compliance, KYC or operations will be particularly advantageous.
Location: London, UK / Hybrid Working
Salary: £100,000 - £140,000
Hybrid Working: 3-days a week in the offices.
Applicants must be based in the UK and have the right to work in the UK, even though hybrid working is available.
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