Applied AI Engineer – Hybrid (FS & Public Sector)
Applied AI Engineer – Hybrid (FS & Public Sector)

Applied AI Engineer – Hybrid (FS & Public Sector)

Full-Time 50000 - 70000 £ / year (est.) Home office (partial)
EY

At a Glance

  • Tasks: Build AI-powered solutions and engage in discovery workshops for top financial services clients.
  • Company: Join EY, a leading firm known for innovation and collaboration.
  • Benefits: Enjoy a competitive salary, hybrid work model, and opportunities for professional growth.
  • Other info: Experience a dynamic work environment with travel opportunities across the UK.
  • Why this job: Dive into the world of AI and make a real impact in the financial sector.
  • Qualifications: Solid software development skills and a passion for AI concepts are essential.

The predicted salary is between 50000 - 70000 £ per year.

EY is seeking a Consultant – Applied AI Engineer to join their team in Greater Manchester. In this role, you will build AI-powered solutions for leading financial services clients, engage in discovery workshops, and implement features using LLM/RAG technologies.

The position requires:

  • A solid foundation in software development
  • An eagerness to understand AI concepts
  • The ability to communicate effectively with clients

This hybrid role also involves some travel across the UK.

Applied AI Engineer – Hybrid (FS & Public Sector) employer: EY

EY is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to work on cutting-edge AI projects within the financial services and public sectors. With a strong emphasis on professional development, team collaboration, and innovative thinking, employees are encouraged to grow their skills while enjoying the flexibility of a hybrid working model in the vibrant city of Greater Manchester. Join us to be part of a forward-thinking organisation that values your contributions and supports your career journey.
EY

Contact Detail:

EY Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Applied AI Engineer – Hybrid (FS & Public Sector)

Tip Number 1

Network like a pro! Reach out to folks in the AI and tech space, especially those working in financial services. Attend meetups or webinars to connect with potential employers and get your name out there.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLM/RAG technologies. This will give you an edge and demonstrate your hands-on experience to potential employers.

Tip Number 3

Prepare for interviews by brushing up on your communication skills. Practice explaining complex AI concepts in simple terms, as you'll need to engage effectively with clients in this role.

Tip Number 4

Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.

We think you need these skills to ace Applied AI Engineer – Hybrid (FS & Public Sector)

AI-Powered Solutions Development
LLM/RAG Technologies
Software Development
Client Communication
Discovery Workshops Facilitation
Problem-Solving Skills
Adaptability
Team Collaboration
Technical Understanding of AI Concepts
Project Management
Travel Flexibility

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with AI and software development. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the Applied AI Engineer position and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.

Showcase Your Communication Skills: Since this role involves client interaction, it's crucial to demonstrate your ability to communicate complex AI concepts clearly. In your application, consider including examples of how you've effectively communicated technical information in the past.

Apply Through Our Website: We encourage you to apply directly 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 AI Stuff

Make sure you brush up on your knowledge of AI concepts, especially LLM and RAG technologies. Be ready to discuss how you've applied these in past projects or how you would approach building AI-powered solutions for financial services clients.

Showcase Your Software Skills

Since a solid foundation in software development is key, prepare to talk about your programming experience. Bring examples of your work that demonstrate your coding skills and how they relate to AI applications.

Engage in Discovery

Think about how you would conduct discovery workshops with clients. Prepare some questions that show your understanding of their needs and how AI can solve their problems. This will highlight your communication skills and client engagement abilities.

Be Ready to Travel

As this role involves travel across the UK, be prepared to discuss your flexibility and willingness to meet clients in person. Show enthusiasm for the hybrid nature of the job and how you can balance remote work with on-site engagements.

Applied AI Engineer – Hybrid (FS & Public Sector)
EY

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

>