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- Tasks: Join a team to build AI-powered solutions for leading financial services clients.
- Company: EY, a global leader in professional services with a focus on innovation.
- Benefits: Flexible working environment, world-class training, and diverse team 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 50000 - 70000 ÂŁ 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 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.
About EY: EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
Consultant - Applied AI Engineer, TC in Edinburgh employer: EY
Contact Detail:
EY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Consultant - Applied AI Engineer, TC in Edinburgh
✨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! During interviews, be ready to discuss how you've tackled complex challenges in the past. Use examples that highlight your ability to think critically and adapt quickly—qualities that are key for a Consultant at EY.
✨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 Edinburgh
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how you connect with the role and why you're excited about working in a dynamic environment like EY.
Tailor Your Experience: Make sure to highlight relevant experiences that align with the job description. We’re looking for specific examples of your work with Python, TypeScript, or any AI projects you've been involved in. This helps us see how you fit into our team!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your skills and experiences. We appreciate a well-structured application that makes it easy for us to understand your qualifications.
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 ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at EY
✨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 about specific examples where you translated business needs into technical solutions, as this aligns 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 or adapted your approach based on lessons learned, especially in fast-paced environments.
✨Engage with the Interviewers
Remember, interviews are a two-way street! Prepare thoughtful questions about EY’s approach to AI and their collaboration with Microsoft/OpenAI. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.