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- Tasks: Join a squad to build AI solutions for top financial clients and tackle real business challenges.
- Company: Dynamic consultancy with a focus on innovation and collaboration.
- Benefits: Flexible working, world-class training, and a diverse, inclusive culture.
- Other info: Hybrid work model with opportunities for travel and career growth.
- Why this job: Gain hands-on experience in AI while making a real impact in the industry.
- Qualifications: Basic software skills in Python/TypeScript and a passion for learning AI technologies.
The predicted salary is between 50000 - 70000 £ per year.
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.
Location: London CP / Manchester / Birmingham / Edinburgh/ Belfast— Hybrid with client‑site travel
Contract: Permanent, full‑time
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: We’ll develop you with future‑focused skills, equip you with world‑class experiences, and empower you in a flexible environment. You’ll be part of a diverse and inclusive culture of globally connected teams.
Consultant - Applied AI Engineer, TC in London employer: EY
Contact Detail:
EY Recruiting Team
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 current employees at EY. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLM/RAG features. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI and software development. Use mock interviews with friends or online platforms to build confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
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 translate business challenges into real solutions!
Show Off Your Communication Skills: Since this role involves client-facing delivery, it’s crucial to demonstrate your clear communication abilities. Use examples from your past experiences where you’ve successfully conveyed complex ideas or collaborated with teams. We love a good story!
Highlight Your Learning Mindset: We’re looking for someone eager to learn and grow. Mention any courses, hackathons, or self-driven projects that show your commitment to continuous improvement in AI and software development. Let us know how you keep up with the latest trends!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get you into our system. Plus, it shows you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at EY
✨Know Your Tech Stack
Make sure you brush up on your software fundamentals, especially Python and TypeScript. Be ready to discuss how you've used APIs and microservices in past projects, as well as your experience with testing and Git. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Understand LLM/RAG Concepts
Since the role involves building LLM/RAG features, it’s crucial to have a solid grasp of embeddings, prompts, and retrieval methods. Prepare to explain these concepts and how they relate to real-world applications. This will demonstrate your eagerness to learn and adapt in this fast-evolving field.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific examples where you’ve translated business challenges into user stories or acceptance criteria. Think about how you contributed to demos and feedback cycles in previous roles. This will highlight your client-facing delivery skills and your ability to work collaboratively.
✨Emphasise Your Growth Mindset
During the interview, convey your enthusiasm for continuous improvement and learning. Share instances where you’ve sought feedback or adapted your approach based on lessons learned. This aligns perfectly with the company’s values and shows that you’re committed to personal and professional development.