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Harnham

Senior AI Data Engineer

London
£70k – £90k/yr
Posted 2 days ago
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Senior AI Data Engineer

Senior AI and Data Engineer

Location: London (2 days per week in office)

About the Company

They are an established professional services organisation undergoing a significant AI and data transformation. The business is investing in building AI capability from the ground up, with:

  • A clear backlog of use cases
  • Strong support from senior leadership

You will join a collaborative and growing team within strategy and data transformation, working closely with senior stakeholders. The culture thrives on:

  • Experimentation
  • Delivery
  • Measurable impact

The Role

Develop end-to-end AI and data solutions, covering the entire pipeline—from modelling to production.

Key responsibilities:

  • Design, build, and deploy AI/ML solutions across multiple domains, including:
    • Document drafting
    • Client communications
    • Pricing optimisation
    • Workflow automation
  • Collaborate with stakeholders to gather requirements and translate them into scalable AI products
  • Construct and maintain data pipelines and infrastructure to support AI and analytics use cases
  • Evaluate and implement off-the-shelf AI tools to accelerate operations
  • Deliver multiple concurrent AI projects, balancing innovative exploration with reliable engineering 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

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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.

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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.


Your Skills and Experience

We seek candidates with:

  • Strong commercial experience in AI and data engineering within a business environment
  • Proven ability to design, build, and deploy AI/ML solutions from first principles to scaled production
  • Direct experience with:
    • Large Language Models (LLMs)
    • AI tools for automation, content generation, or workflow optimisation
  • Solid knowledge of data engineering principles, including:
    • Pipelines and data workflows
    • Data architecture
    • Full-stack data modeling
  • Strong stakeholder engagement skills to effectively translate business needs into technical solutions
  • Comfortability working in fast-paced environments with evolving priorities and multiple overlapping projects

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What They Offer

  • Competitive salary
  • Hybrid work model (London-based, with 2 days per week in office)
  • Opportunity to shape the growth of the AI and data function
  • Direct access to senior leadership on high-impact projects
  • Clear career progression as the team expands
  • A collaborative, delivery-focused culture

How to Apply: Submit your CV to explore this opportunity further.

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Skills

AI
Data Engineering
Machine Learning
Data Pipelines
Data Architecture
Stakeholder Engagement
Automation
Content Generation
Workflow Optimisation

Location

London, England, United Kingdom

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