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 Studio+ Nederland
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 diverse 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 the EY team 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 experience with Python, TypeScript, and any relevant AI projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Problem-Solving Skills:In your application, share examples of how you've tackled complex challenges in previous roles. We love candidates who can demonstrate a product mindset and a knack for turning business needs into actionable solutions. Let us know how you’ve made an impact!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language and avoid jargon unless it's relevant to the role. We appreciate well-structured applications that are easy to read and understand.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at EY Studio+ Nederland
✨Know Your Tech Stack
Make sure you’re well-versed in the software fundamentals mentioned in the job description, like Python, TypeScript, and APIs. Brush up on your knowledge of LLM/RAG basics and cloud fundamentals, especially Azure, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled complex challenges in previous roles. Think of specific examples where you translated business needs into technical solutions, as this aligns perfectly with the role's focus on client-facing delivery and solution design.
✨Demonstrate a Growth Mindset
EY values continuous improvement, so be ready to talk about how you’ve learned from past experiences. Share instances where you sought feedback and adapted your approach, especially in fast-paced environments like AI engineering.
✨Engage with the Company Culture
Familiarise yourself with EY’s mission to build a better working world. During the interview, express your enthusiasm for their commitment to innovation and collaboration, and how you see yourself contributing to their diverse teams and projects.
