At a Glance
- Tasks: Design and implement AI solutions for financial institutions while collaborating with stakeholders.
- Company: Join EY, a leading firm known for innovation and growth.
- Benefits: Hybrid work model, career development opportunities, and client engagement.
- Other info: Dynamic team environment with excellent career growth potential.
- Why this job: Be at the forefront of AI technology and make a real difference in finance.
- Qualifications: Strong Python/TypeScript skills and cloud engineering experience required.
The predicted salary is between 60000 - 80000 £ per year.
EY is seeking a Senior Consultant – Applied AI Engineer to work in a hybrid model across major UK cities including London, Manchester, and Edinburgh. The role involves designing AI capabilities and collaborating with stakeholders to integrate and implement solutions for financial institutions.
Candidates with strong Python/TypeScript skills, cloud engineering experience, and a solid understanding of data engineering fundamentals are preferred. This position offers opportunities for client-facing engagement and career development within a growing engineering team.
Applied AI Engineer Consultant — Production-Grade AI Solutions in London employer: EY
Contact Detail:
EY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Engineer Consultant — Production-Grade AI Solutions in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at EY or similar firms. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python/TypeScript projects or any AI solutions you've designed. This is your chance to demonstrate your expertise and creativity to potential employers.
✨Tip Number 3
Prepare for client-facing scenarios. Brush up on your communication skills and think about how you’d explain complex AI concepts to non-tech stakeholders. Being able to bridge that gap is a huge plus!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you ace the application process and get noticed by recruiters. Let’s make your job search smoother together!
We think you need these skills to ace Applied AI Engineer Consultant — Production-Grade AI Solutions in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and TypeScript skills in your application. We want to see how you can bring those coding chops to the table, especially when it comes to designing AI capabilities.
Tailor Your Application: Don’t just send a generic CV! We love it when candidates tailor their applications to the role. Mention your experience with cloud engineering and data fundamentals, and how they relate to the job description.
Be Client-Focused: Since this role involves client-facing engagement, let us know about any previous experiences you've had working directly with clients. We want to see how you can communicate and collaborate effectively!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at EY
✨Know Your Tech Inside Out
Make sure you brush up on your Python and TypeScript skills. Be ready to discuss specific projects where you've used these languages, especially in the context of AI solutions. The more you can demonstrate your technical prowess, the better!
✨Understand the Business Context
Since you'll be working with financial institutions, it’s crucial to understand their challenges and how AI can address them. Research common pain points in the finance sector and think about how your skills can provide solutions.
✨Showcase Your Collaboration Skills
This role involves working closely with stakeholders, so be prepared to share examples of how you've successfully collaborated in past projects. Highlight your communication skills and how you’ve managed to integrate feedback into your work.
✨Prepare for Client Engagement Scenarios
As this position offers client-facing opportunities, think about how you would approach a client meeting. Prepare to discuss how you would explain complex AI concepts in simple terms and how you would build rapport with clients.