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- Tasks: Transform business challenges into AI solutions and build cutting-edge systems.
- Company: Join EY, a leader in engineering-led AI innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for travel.
- Other info: Dynamic team with growth opportunities and exposure to diverse industries.
- Why this job: Be at the forefront of AI technology and make a real impact across sectors.
- Qualifications: Experience in Python/TypeScript and a passion for learning AI fundamentals.
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 in London 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 in London
✨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 knowledge of AI systems and software fundamentals. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, let your work speak for itself. Highlight any experience with Python, TypeScript, or cloud technologies like Azure to catch the eye of recruiters.
✨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 genuinely interested in joining our team at EY.
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 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 expanding your knowledge in AI and cloud technologies. This will really make you stand out!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details directly and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Ernst & Young
✨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 microservices and Git, as these are crucial for building production-grade AI systems.
✨Understand the Business Context
Familiarise yourself with the diverse sectors you'll be working in, such as Financial Services and Public Sector. Be prepared to discuss how you can translate business challenges into user stories and implement features that align with client needs.
✨Showcase Your Learning Mindset
Demonstrate your eagerness to learn about LLM/RAG basics and cloud fundamentals, especially Azure. Share examples of how you've tackled new technologies or concepts in the past, showing that you're adaptable and ready to grow.
✨Communicate Clearly
Practice articulating your thoughts clearly and concisely. Since clear communication is key in this role, consider doing mock interviews with friends or using online platforms to refine your delivery and ensure you’re client-ready.