At a Glance
- Tasks: Translate business challenges into user stories and build LLM/RAG features for clients.
- Company: EY is a globally connected powerhouse focused on building a better working world.
- Benefits: Enjoy a flexible hybrid working model with opportunities for client-site travel across the UK.
- Other info: The role is permanent, full-time, based in London, Manchester, Birmingham, Edinburgh, or Belfast.
- Why this job: Join a delivery squad to create real AI-powered solutions for leading financial services clients.
- Qualifications: Essential skills include Python/TypeScript, APIs, microservices, and cloud fundamentals, preferably Azure.
The predicted salary is between 80000 - 100000 £ per year.
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
You will work across a diverse portfolio of clients spanning Financial Services, the Public Sector, and the Private Sector. Our Applied AI Engineering teams deliver production-grade AI systems in regulated financial institutions as well as government, health, infrastructure, consumer, industrial and energy organisations. This cross-sector model gives you broad exposure to different regulatory environments, data landscapes and operating models, while building deep engineering capability that transfers across industries.
Location: London CP / Manchester / Birmingham / Edinburgh / Belfast — Hybrid with client-site travel
Contract: Permanent, full-time
Role purpose: Join a delivery squad building real AI-powered solutions for leading FS clients. You’ll translate business challenges into user stories, implement early features (e.g., LLM/RAG), and learn how to deliver secure, reliable solutions in enterprise settings. Your journey starts with an Applied AI Engineering Academy combining hands-on learning, hackathons and real project exposure.
What you’ll do:
- Client-facing delivery: Support discovery workshops; convert needs into user stories and acceptance criteria; contribute to demos and feedback cycles.
- Solution design & implementation: Build LLM/RAG features and integrations under guidance; write clean, tested, documented code; follow EY reference architectures and security patterns.
- Product mindset & continuous improvement: Contribute to documentation, reusable accelerators and squad playbooks informed by field lessons.
What we’re looking for:
Essential:
- Software fundamentals (Python/TypeScript, APIs, microservices, testing, Git).
- LLM/RAG basics (embeddings, prompts, retrieval) and an eagerness to learn evaluation/guardrails.
- Cloud fundamentals (Azure preferred), Docker, CI/CD exposure.
- Clear communication, client readiness and a growth mindset.
Nice to have:
- ML fundamentals; PyTorch/TensorFlow; Databricks; streaming patterns.
Travel & working model: Hybrid with periodic client travel across the UK (and occasional international travel as needed).
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.
Consultant - Applied AI Engineer, TC in Birmingham employer: EY
At EY, you will develop future-focused skills in a diverse and inclusive culture. The company offers a flexible working environment and opportunities for international travel. Join a team dedicated to delivering production-grade AI systems across various sectors including financial services and public sector.
