Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform business challenges into AI solutions and build production-grade systems.
- Company: Join a leading firm at the forefront of AI innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for travel.
- Other info: Gain exposure to diverse industries and enhance your engineering skills.
- Why this job: Be part of a dynamic team shaping the future of financial services with AI.
- Qualifications: Experience in Python/TypeScript and a passion for learning AI technologies.
The predicted salary is between 60000 - 80000 £ per year.
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.
Responsibilities & Qualifications
- Translate business challenges into user stories and implement early features (e.g., LLM/RAG).
- Build production-grade AI systems aligned to EY platform patterns and Responsible AI guardrails.
- Software fundamentals: Python/TypeScript, APIs, microservices, testing, Git.
- LLM/RAG basics: embeddings, prompts, retrieval, and eagerness to learn evaluation/guardrails.
- Cloud fundamentals: Azure preferred, Docker, CI/CD.
- 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).
Why EY
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. Join our dynamic FS team to innovate, automate and adapt in the evolving financial services landscape.
Consultant - Applied AI Engineer, TC employer: Ernst & Young
Contact Detail:
Ernst & Young Recruiting Team
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-world examples from your experience to demonstrate how you can tackle business challenges with AI solutions.
✨Tip Number 3
Stay updated on the latest trends in AI and cloud technologies. This will not only help you in interviews but also show your passion for the field. Plus, it’s a great way to impress potential employers with your knowledge!
✨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, we love seeing candidates who are proactive about their job search.
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 AI projects you've worked on. We want to see how your skills align with our needs!
Showcase Your Communication Skills: Since clear communication is key in this role, don’t shy away from demonstrating your ability to convey complex ideas simply. Use your application to show us how you can translate technical jargon into user-friendly language.
Highlight Your Growth Mindset: We love candidates who are eager to learn! Mention any recent courses, certifications, or personal projects that showcase your commitment to continuous learning, especially in AI and cloud technologies like Azure.
Apply Through Our Website: For the best chance of success, make sure to submit your application through our website. This way, we can easily track your application and ensure it gets the attention it deserves. We can't wait to hear from you!
How to prepare for a job interview at Ernst & Young
✨Know Your Tech Stack
Make sure you’re well-versed in Python, TypeScript, and the basics of LLM/RAG. Brush up on your knowledge of APIs, microservices, and cloud fundamentals, especially Azure. Being able to discuss these technologies confidently will show that you're ready to hit the ground running.
✨Understand the Business Context
Familiarise yourself with the sectors you'll be working in, like Financial Services and Public Sector. Think about how AI can solve specific challenges in these areas. This will help you translate business challenges into user stories during the interview, which is a key part of the role.
✨Showcase Your Communication Skills
Clear communication is crucial, especially when dealing with clients. Practice explaining complex technical concepts in simple terms. You might even want to prepare a few examples of how you've effectively communicated in past projects or roles.
✨Emphasise Your Growth Mindset
Be ready to discuss how you approach learning new technologies and adapting to different regulatory environments. Share examples of how you've tackled challenges in the past and what you've learned from them. This will demonstrate your eagerness to grow and adapt in a dynamic field.