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Senior Data & AI Engineer

London
£85k/yr
Posted about 15 hours ago
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Senior Data & AI Engineer | Up to £85k | Hybrid London (1-2 Days per Week) | Python, AI & Data

We're partnered with a growing AI and data consultancy that works with investment managers, pension schemes and financial institutions to deliver AI-powered products, data solutions and intelligent automation.

Following continued growth and investment in its technology function, the business is looking to expand its current team across junior to senior roles.

This is an opportunity to join a highly collaborative engineering team where AI is embedded into day-to-day development. You'll work on a combination of client projects and proprietary products, helping to solve complex problems using modern software engineering, data and AI technologies.

The Role

As a Senior Data & AI Engineer, you'll be responsible for building AI-powered solutions for both client projects and the consultancy's own products.

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.

The role is heavily focused on practical AI implementation, including prompt engineering, output evaluation, reliability improvements and integrating LLMs into production systems.

You'll work closely with technical and non-technical stakeholders, helping to solve complex business problems using data and AI technologies.

This environment suits engineers who enjoy autonomy, ownership and working within a scale-up business where there is plenty of opportunity to influence outcomes.

Key Requirements

  • 4-5+ years of commercial software engineering experience
  • Strong Python development skills
  • Experience building AI-powered applications using LLMs
  • Strong prompt engineering capabilities
  • Experience evaluating model outputs and mitigating hallucinations
  • Ability to communicate effectively with stakeholders and clients
  • Self-starter mentality with a high degree of ownership
  • Passion for AI and emerging technologies

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Desirable Experience

  • Retrieval-Augmented Generation (RAG)
  • Data engineering and large-scale data ingestion
  • Azure or Google Cloud
  • Financial services, ESG or investment industry exposure
  • Data modelling and architecture

Why Join?

  • Work with cutting-edge AI technologies on real-world projects
  • Join a growing consultancy at an exciting stage of its journey
  • Opportunity to contribute to both client solutions and proprietary products
  • Small, collaborative engineering team with direct access to leadership
  • Modern engineering environment that actively embraces AI tools and workflows
  • Genuine opportunity to influence technical direction and product development
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Skills

Python
AI Implementation
Prompt Engineering
LLM Integration
Model Evaluation
Data Engineering
RAG
Azure
Google Cloud
Data Modelling
Data Architecture
Software Engineering

Location

London, England, United Kingdom

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