At a Glance
- Tasks: Join a team creating AI solutions for top financial clients and tackle real-world challenges.
- Company: EY, a global leader in consulting 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 professional growth.
- Why this job: Kickstart your career in AI with hands-on learning and impactful projects.
- Qualifications: Basic software skills in Python/TypeScript and a passion for AI technologies.
The predicted salary is between 50000 - 70000 £ 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.
Consultant - Applied AI Engineer, TC 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, hackathons, and real project exposure, all while working in a hybrid model across vibrant UK cities like London, Manchester, Birmingham, Edinburgh, and Belfast. Join us to develop future-focused skills in a supportive environment that values your unique talents and contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Consultant - Applied AI Engineer, TC
✨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 software development.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for roles that excite you, and tailor your approach to show why you’re a perfect fit for the team.
✨Tip Number 4
Follow up after interviews with a thank-you note. It’s a simple gesture that shows your enthusiasm and professionalism. Plus, it keeps you fresh in their minds as they make their decisions!
We think you need these skills to ace Consultant - Applied AI Engineer, TC
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 features. 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 seeing how you engage with clients and stakeholders!
Highlight Your Growth Mindset:We’re looking for someone eager to learn and grow. Share instances where you’ve taken on new challenges or learned new technologies, especially in AI or cloud environments. This shows us you’re ready to dive into our Applied AI Engineering Academy and beyond!
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 ensure you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter and how you can fit into our team.
How to prepare for a job interview at EY UK
✨Know Your Tech Stack
Make sure you brush up on your Python, TypeScript, and cloud fundamentals, especially Azure. Be ready to discuss how you've used these technologies in past projects or how you plan to apply them in the role.
✨Understand LLM/RAG Concepts
Familiarise yourself with the basics of LLM and RAG, including embeddings and prompts. Prepare to explain how you would implement these features in a real-world scenario, as this will show your eagerness to learn and adapt.
✨Practice Client-Facing Scenarios
Since this role involves client interaction, practice articulating your thoughts clearly and confidently. Think of examples where you've successfully communicated technical concepts to non-technical stakeholders.
✨Show Your Growth Mindset
Be prepared to discuss how you approach learning and improvement. Share specific instances where you've sought feedback or adapted your methods based on lessons learned, as this aligns with the continuous improvement ethos of the role.
