At a Glance
- Tasks: Join a team to build AI-powered solutions for diverse clients across sectors.
- Company: EY, a global leader in professional services with a focus on innovation.
- Benefits: Flexible working environment, world-class training, and diverse culture.
- Other info: Hybrid work model with opportunities for travel and career growth.
- Why this job: Make a real impact by solving complex challenges with cutting-edge AI technology.
- Qualifications: Basic software skills in Python/TypeScript and a passion for learning AI.
The predicted salary is between 55000 - 65000 € per year.
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 CP / Manchester / Birmingham / Edinburgh/ Belfast— Hybrid with client-site travel
Contract: Permanent, full-time
Why EY — and why FS: EY is the only professional services firm with a separate business unit (“FS”) dedicated to the financial services marketplace. Our FS teams have been at the forefront of every event that has reshaped and redefined the industry. If you have a passion for rallying together to solve the most complex challenges in financial services, come join our dynamic FS team!
Clients’ problems are evolving rapidly. The pace of AI and enabling technologies creates an urgent need to innovate, automate and adapt. Financial institutions want smarter, more efficient operations, new data-driven revenue streams, and stronger risk management. Unlocking AI’s full potential means not only applying it, but also transforming the enterprise to be data- and technology-led. Problems are getting more complex just as the pressure to streamline is rising.
EY is investing in engineering-led AI at scale and expanding collaboration with Microsoft/OpenAI to bring advanced capabilities to clients via Microsoft’s secure Azure OpenAI Service. You’ll help build production-grade systems aligned to EY platform patterns and Responsible AI guardrails.
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 a 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 in London employer: EY Société d'Avocats
At EY, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. With a commitment to professional development through our Applied AI Engineering Academy, you will gain hands-on experience while working on innovative projects across various sectors. Our hybrid working model, combined with the opportunity for client-site travel, ensures a flexible and engaging environment where your career can flourish.
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 current or former EY employees on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the Applied AI Engineering team. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can talk confidently about Python, APIs, and LLM/RAG basics. We want to see your passion for AI and how you can apply it to real-world problems.
✨Tip Number 3
Show off your problem-solving skills! Be ready to discuss how you've tackled complex challenges in the past. Use examples that highlight your ability to adapt and innovate, especially in tech-driven environments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining EY and contributing to building a better working world.
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 relevant skills in Python, cloud fundamentals, and any experience with LLM/RAG features. We want to see how you fit into our diverse teams!
Showcase Your Passion:Let your enthusiasm for AI and financial services shine through in your application. Share any projects or experiences that demonstrate your eagerness to tackle complex challenges. We love candidates who are excited about building a better working world!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language and avoid jargon unless it's relevant. We appreciate candidates who can communicate effectively, especially in client-facing roles.
Apply Through Our Website:Don’t forget to submit your application through our official website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re serious about joining our team at EY.
How to prepare for a job interview at EY Société d'Avocats
✨Know Your Tech
Make sure you brush up on your software fundamentals, especially Python and TypeScript. Be ready to discuss APIs, microservices, and testing practices, as these are crucial for the role of an Applied AI Engineer.
✨Understand the Business
Familiarise yourself with the financial services sector and the specific challenges it faces. Being able to translate business needs into technical solutions will show that you can think like a consultant, not just a coder.
✨Show Your Problem-Solving Skills
Prepare to discuss how you've tackled complex problems in the past. Use examples that highlight your ability to innovate and adapt, especially in high-pressure situations, as this is key for delivering AI solutions.
✨Communicate Clearly
Practice articulating your thoughts clearly and concisely. Since client-facing delivery is part of the role, being able to communicate technical concepts to non-technical stakeholders will set you apart from other candidates.
