At a Glance
- Tasks: Design and implement AI solutions for diverse clients across various sectors.
- Company: Join EY, a global leader in consulting with a focus on innovation.
- Benefits: Flexible working, professional development, and a diverse, inclusive culture.
- Other info: Hybrid work model with opportunities for travel and career advancement.
- Why this job: Shape the future of AI in finance and beyond while growing your skills.
- Qualifications: Strong Python/TypeScript skills and experience with AI technologies.
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 / Manchester / Birmingham / Edinburgh / Belfast— Hybrid with client‑site travel
Contract: Permanent, full‑time
Role purpose: Operate as a hands‑on engineer within a squad, taking ownership of defined components and delivering AI capabilities (e.g., agents, RAG pipelines) that meet enterprise standards for reliability, security and observability. Strengthen your foundations through the Applied AI Engineering Academy while taking on more responsibility for solution shaping and stakeholder engagement.
What You’ll Do:
- Client‑facing engineering & delivery: Collaborate with business and technology stakeholders; translate requirements into engineering tasks; support workshops, demos and solution reviews; drive adoption through testing and iteration.
- Solution design & implementation: Design and implement RAG pipelines, agents, microservices and integrations; apply monitoring, evaluation and Responsible AI guardrails.
- Product mindset & continuous improvement: Shape MVP scope, backlog and release planning; capture reusable patterns and contribute to shared accelerators.
What we’re looking for: Strong Python/TypeScript; async patterns; API design; testing/CI; microservice fundamentals. Hands‑on LLMs, embeddings, vector databases; retrieval strategies and grounding. Cloud engineering (Azure preferred), Docker/Kubernetes, serverless; secure networking/IAM. Data engineering fundamentals (Spark/Databricks; ETL/ELT) and operational handover. Consulting behaviours: stakeholder engagement and clear, client‑ready communication.
Nice to have: Document/graph stores; streaming (Event Hub/Kafka); cloud architecture exposure and governance credentials.
Travel & working model: Hybrid with periodic client travel across the UK (and occasional international travel).
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.
Senior Consultant - Applied AI Engineer, TC in Newcastle upon Tyne employer: EY
EY is an exceptional employer that fosters a collaborative and innovative work culture in Manchester, where you can thrive as an Industry Strategy & Growth Lead. With comprehensive benefits including medical coverage and flexible vacation policies, alongside a strong commitment to professional development, EY empowers its employees to grow and excel in their careers while making a meaningful impact in the consumer and health sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Consultant - Applied AI Engineer, TC in Newcastle upon Tyne
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We think you need these skills to ace Senior Consultant - Applied AI Engineer, TC in Newcastle upon Tyne
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
