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Working at EY UK

  • Company employees
    400000
  • Gender diversity (m:f)
    52:48

Hiring in

  • Global

Office locations

Join EY as a Senior Applied AI Engineer (Manager) in a hybrid role based in London, Manchester, Birmingham, Edinburgh, or Belfast. In this leadership position, you will architect enterprise-grade AI services, mentor engineering squads, and drive production-ready, responsible AI solutions for a diverse portfolio of clients.

Requirements

  • Deep software and systems engineering experience using Python or TypeScript, distributed systems, and CI/CD.
  • Applied-AI expertise including LLM/RAG engineering, evaluation, and drift monitoring.
  • Cloud architecture experience (Azure, AWS, or GCP), Kubernetes, Docker, and serverless technologies.
  • Data engineering depth with Spark/Databricks and ETL/ELT.
  • Enterprise integration and SRE principles.
  • Consulting leadership covering stakeholder, budget, and risk management.
  • A PhD in Computer Science, Applied Mathematics, or Computer Engineering is desirable but not essential.

Skills & Responsibilities

  • Python/TypeScript: Deliver robust software, distributed systems, and CI/CD pipelines to support enterprise applications.
  • LLM/RAG Engineering: Architect and implement advanced AI services including agents and RAG pipelines with proper evaluation and telemetry.
  • Cloud & Kubernetes: Design scalable infrastructure across Azure, AWS, or GCP using Kubernetes, Docker, and serverless components.
  • Data Engineering: Build cloud-native data and AI architectures utilizing Spark, Databricks, and ETL/ELT processes.
  • Consulting & Leadership: Guide engineering squads, manage stakeholders, and ensure operational readiness following SRE principles.
  • Potential transition routes: People from Software Engineering, Data Architecture, or Machine Learning Engineering roles may bring strong programming and cloud skills, alongside meeting the required consulting and leadership criteria.

Job description

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.

Senior Applied AI Engineer (Manager)

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

Location London CP / Manchester / Birmingham / Edinburgh/ Belfast Hybrid with client‑site travel

Why EY — and why FS

As AI complexity and regulatory expectations rise, FS clients need technical leaders who can architect, govern and operate AI at scale. EY’s engineering‑led approach — and our collaboration with Microsoft/OpenAI via Azure OpenAI Service — positions our teams to deliver safe, reliable solutions embedded in enterprise environments. You will guide squads and shape architectures to meet these demands.

Role purpose

Lead technical delivery across solution threads: set technical direction, mentor engineers, and ensure systems are production‑ready (reliability, observability, security, runbooks). Continue your development through the Applied AI Engineering Academy focused on advanced patterns and engineering leadership.

EY Grade: Manager (UK)

What you’ll do

Client‑facing engineering & leadership

  • Shape engineering approaches; engage senior stakeholders; articulate trade‑offs; ensure engineering quality across squads and complex client environments.

Solution architecture & implementation leadership

  • Architect enterprise‑grade AI services (agents, RAG pipelines, orchestration layers, platform components); ensure operational readiness; drive Responsible AI, evaluation and best practices.

Product mindset & continuous improvement

  • Mentor engineers; lead technical reviews; establish reference architectures and reusable accelerators; contribute to internal knowledge sharing and external thought leadership.

What we’re looking for

Essential

  • Deep software/systems engineering (Python/TypeScript, distributed systems, CI/CD).
  • Applied‑AI expertise: LLM/RAG engineering; evaluation; telemetry/drift monitoring; versioning and release management.
Apply now
EY UK

Senior Applied AI Engineer (Manager)

Belfast, Birmingham, Edinburgh, London, Manchester
On-site, Hybrid
  • Cloud architecture (Azure/AWS/GCP), Kubernetes/Docker, serverless, IAM and network security.
  • Data engineering depth (Spark/Databricks; ETL/ELT); cloud‑native data + AI architectures.
  • Enterprise integration and SRE principles (SLIs/SLOs, runbooks, rollback).
  • Consulting leadership: stakeholder, budget and risk management; team leadership.
  • Nice to have

    • Graph/big‑data stacks; streaming; cloud architect certifications and Responsible AI governance credentials.

    Travel & working model

    Hybrid with periodic client travel across the UK (and occasional international travel).

    Shared closing section

    What we offer you

    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. Learn more.

    EY | Building a better working world

    EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

    Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

    EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

    A PhD in Computer Science, Applied Mathematics, or Computer Engineering is desirable but not essential.

    EY | Building a better working world

    EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

    Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

    EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

    "FDEFS"

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