At a Glance
- Tasks: Join a squad to build AI solutions for top financial clients and tackle real business challenges.
- Company: EY, a global leader in consulting with a focus on innovation and collaboration.
- Benefits: Flexible work environment, world-class training, and opportunities for international travel.
- Other info: Dynamic hybrid role with excellent growth potential and a supportive team culture.
- Why this job: Kickstart your career in AI with hands-on learning and impactful projects.
- Qualifications: Basic knowledge of Python/TypeScript, APIs, and a passion for AI technologies.
The predicted salary is between 30000 - 40000 £ per year.
Location: London, 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).
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.
EY Grade: Consultant (UK)
Consultant - Applied AI Engineer, TC in London employer: EY UK
At EY, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. As a Consultant - Applied AI Engineer, you'll benefit from our commitment to employee growth through hands-on learning opportunities, including our Applied AI Engineering Academy, while enjoying the flexibility of a hybrid working model across vibrant UK cities. Join us to be part of a forward-thinking team that values your contributions and supports your professional journey in the exciting field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Consultant - Applied AI Engineer, TC in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your problem-solving skills. Use real-life examples from your projects to demonstrate how you’ve tackled challenges, especially in AI and tech.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each role. Research the company, understand their values, and align your skills with what they’re looking for. This shows you’re genuinely interested and not just sending out generic applications.
✨Tip Number 4
Keep an eye on our website for the latest job openings. Applying directly through us not only gives you a better chance but also keeps you updated on any new roles that fit your skills in AI engineering.
We think you need these skills to ace Consultant - Applied AI Engineer, TC in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Consultant - Applied AI Engineer role. Highlight your experience with Python, TypeScript, and any relevant projects that showcase your skills in LLM/RAG. We want to see how you can bring value to our team!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled business challenges in the past. We love seeing candidates who can translate complex problems into user stories and deliver effective solutions. Don’t hold back on your achievements!
Keep It Clear and Concise:When writing your application, clarity is key! Use straightforward language and avoid jargon unless it’s relevant to the role. We appreciate a well-structured application that gets straight to the point without fluff.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way to ensure it reaches us directly. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at EY UK
✨Know Your Tech
Make sure you brush up on your software fundamentals, especially Python and TypeScript. Be ready to discuss APIs, microservices, and testing. If you can, prepare a few examples of how you've used these skills in past projects.
✨Understand LLM/RAG Basics
Since the role involves building LLM/RAG features, get familiar with concepts like embeddings and prompts. You might be asked to explain how you would approach a specific problem using these technologies, so having a solid grasp will definitely help.
✨Show Your Client-Facing Skills
This position is client-facing, so practice articulating your thoughts clearly and confidently. Think about past experiences where you’ve had to convert needs into user stories or contribute to feedback cycles, and be ready to share those examples.
✨Embrace the Growth Mindset
The company values a growth mindset, so be prepared to discuss how you approach learning and improvement. Share instances where you’ve taken feedback on board or sought out new challenges to enhance your skills.
