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Senior AI Engineer | Data, Analytics & AI | London, Guildford - Hybrid | 100k
We’re partnering with an established UK business that is expanding its Data, Analytics & AI function and looking for a Senior AI Engineer to lead the development of production-grade AI solutions.
This is a senior, hands-on position for someone who can work across the complete AI lifecycle, from data preparation and experimentation through to deployment, evaluation, monitoring and continuous improvement. You’ll take technical ownership of AI engineering projects, help shape architecture and development standards, and mentor junior engineers while remaining closely involved in delivery.
What you’ll be working on:
- Building and deploying production-ready AI and machine learning solutions
- Developing LLM-powered applications using RAG, vector search, retrievers and prompt orchestration
- Designing data pipelines using Databricks, Python, PySpark and SQL
- Evaluating and benchmarking AI models for quality, reliability and business impact
- Applying AutoML to accelerate traditional machine learning use cases
- Establishing robust MLOps, experiment tracking and deployment practices
- Implementing monitoring, guardrails and quality controls for production AI systems
- Influencing AI architecture, tooling and engineering standards
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:
- 5+ years’ experience across AI, machine learning or data engineering
- Strong commercial experience with Python and Databricks
- Solid SQL, ETL/ELT and data pipeline experience
- Experience building and deploying LLM applications
- Knowledge of traditional machine learning and AutoML
- Experience taking AI or ML solutions into production
- Strong software engineering practices, including testing, version control and CI/CD
- Cloud experience, ideally within Azure
- Previous experience mentoring or guiding engineers


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Your very own career expert that helps elevate your application to the next level.
Experience with Azure AI Foundry, MLflow, MCP, LangChain, LlamaIndex, LangGraph, agentic AI, Azure OpenAI or AI Search would be highly beneficial.
This is an excellent opportunity for someone who understands how to move AI beyond experimentation and deliver reliable solutions that solve genuine business problems.
“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.”
Jessica, London
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