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Oliver Bernard

Senior Data & AI Engineer - Hybrid (London)

London
£90k – £100k/yr
Posted about 21 hours ago
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Senior Data & AI Engineer - Hybrid (London)

Salary: £90k-£100k + benefits

Location: London (3 days on-site)

We have partnered with a leading professional services firm that are building out their internal AI capability. They’re looking for a Senior Data & AI Engineer to design and deliver the systems powering their transformation.

You’ll join a small, high-impact team and build the core platform used across Tax, Audit, Advisory, Ops, and Leadership.

Why This Role Exists

Their services rely on documents, advisory processes, compliance and repeatable workflows, and these need to be automated + augmented to improve speed, consistency and quality.

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.

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.

Main Responsibilities

  • Design, build and deploy production-grade AI systems - from ingestion pipelines to LLM applications
  • Develop and maintain reliable data pipelines & lakehouse infrastructure supporting analytics and AI workloads
  • Own technical decisions across the stack - data modelling, retrieval patterns, evaluation frameworks, deployment approaches
  • Run discovery with business teams to understand workflows, gather requirements and scope high-impact AI solutions
  • Partner with stakeholders across service lines as a trusted advisor, shaping point solutions that deliver measurable value
  • Raise engineering standards - testing, observability, CI/CD discipline, mentoring others, and driving operational excellence
  • Stay close to the evolving AI ecosystem and introduce relevant innovations into production systems

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You’ll Bring

  • Strong Python & SQL skills
  • Hands-on experience building LLM-powered and RAG applications
  • Solid understanding of data engineering foundations (ETL/ELT, data modelling)
  • Business-facing approach, strong ability to act as the bridge between business and technology
  • Experience with Databricks or equivalent Lakehouse platforms
  • Bachelor’s or master’s degree in a STEM field
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Skills

Python
SQL
Data Engineering
ETL
ELT
Data Modelling
LLM Applications
RAG Applications
Databricks
Lakehouse
Analytics
AI Workloads
CI/CD
Observability
Mentoring
Operational Excellence

Location

London, England, United Kingdom

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