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McCabe & Barton

Generative AI Engineer

London
£100k – £120k/yr
Posted about 16 hours ago
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London, hybrid, minimum 2 days per week in the office

Permanent

Insurance sector

McCabe & Barton is partnering with a leading insurance business to hire an Artificial Intelligence Engineer for a hands-on role focused on building and deploying practical AI solutions across the organisation.

This is an opportunity to work on real-world Generative AI use cases, including copilots, chatbots, document intelligence tools and LLM-driven workflows, within a regulated insurance environment. The role will suit a pragmatic engineer who can move beyond proof of concept and deliver secure, scalable and production-ready AI 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

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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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

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Key experience required:

  • Strong Python and backend engineering experience
  • Hands-on experience with OpenAI and/or Anthropic Claude APIs
  • Practical experience with prompt engineering and LLM application development
  • Experience with RAG, embeddings and vector databases
  • Google Cloud Platform experience, ideally including Vertex AI
  • Familiarity with CI/CD, Docker and modern cloud architecture
  • Ability to work with both structured and unstructured data
  • Strong understanding of security, scalability and production-readiness

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Experience in insurance, financial services or another regulated environment would be advantageous, but the key requirement is proven hands-on AI engineering capability.

This is a strong opportunity to join a business investing in applied AI and to help shape solutions that deliver tangible operational and commercial value.

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Skills

Python
Backend Engineering
OpenAI
Anthropic Claude APIs
Prompt Engineering
LLM Application Development
RAG
Embeddings
Vector Databases
Google Cloud Platform
Vertex AI
CI/CD
Docker
Cloud Architecture
Structured Data
Unstructured Data

Location

London, England, United Kingdom

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