Brown & Brown UK
Artificial Intelligence Engineer

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AI Engineer
Location: Hybrid - London
Package: Negotiable + Benefits
We're looking for an AI Engineer who is excited by the challenge of taking cutting-edge AI technology and turning it into robust, production-ready solutions that deliver real business impact. This is an engineering-first role where you'll design, build, and scale AI applications from the ground up. You'll work with Large Language Models (LLMs), modern cloud infrastructure, and distributed systems to create intelligent products that improve how thousands of users interact with data, documents, and business processes.
You'll have the opportunity to solve complex engineering problems, experiment with emerging AI technologies, and deploy solutions into production within one of Europe's largest insurance groups.
What you'll be doing
- Designing and building AI-powered applications, including copilots, intelligent document processing solutions, and conversational AI platforms
- Developing and deploying LLM-powered services and agentic workflows that solve real business challenges
- Building Retrieval-Augmented Generation (RAG) systems using structured and unstructured enterprise data
- Creating scalable, resilient cloud-native solutions using Google Cloud Platform (GCP), Vertex AI, BigQuery, and Cloud Run
- Engineering secure APIs, integrations, and backend services that connect AI capabilities with existing business systems
- Optimising AI performance, reliability, scalability, and cost efficiency in production environments
- Collaborating with engineers, architects, and business stakeholders to take ideas from proof of concept to enterprise-scale deployment
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.
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.
See breakdownIt 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.
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.
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.
What we're looking for
- Strong software engineering foundations with proven Python development experience
- Experience building and deploying AI or machine learning applications in production environments
- Hands-on experience working with OpenAI, Claude, or other leading LLM platforms
- Knowledge of RAG architectures, vector databases, embeddings, and semantic search
- Experience with cloud-native development and modern software engineering practices
- Familiarity with Docker, CI/CD pipelines, infrastructure automation, and scalable system design
- A passion for solving complex technical challenges and building high-quality software
Nice to have
- Experience working within regulated industries such as insurance, banking, or financial services
- Knowledge of AI governance, security, and data privacy considerations
- Exposure to MLOps, model evaluation frameworks, and AI observability tools


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Why join us?
This is an opportunity to build AI solutions that move beyond experimentation and into production. You'll work on meaningful engineering challenges, have the freedom to explore emerging technologies, and help shape how AI is adopted across a large and growing organisation.
We're investing heavily in AI and looking for engineers who want to be part of that journey, influence technical direction, and see their work used at scale.
The rewards
- A negotiable basic salary and all the normal benefits you’d expect (Holiday, company pension etc.)
- A collaborative, open and honest environment that is designed to deliver the best outcomes to our clients and staff
- A flexible working methodology to enable you to be where you need to be, if you don’t need to be in an office then don’t, if you want to be in an office your welcome to use one.
- An environment built around supporting and developing our staff with funding available for relevant professional qualifications.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
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