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- Tasks: Create innovative AI systems for diverse industries, including finance and public services.
- Company: Join Ernst & Young, a leader in professional services with a focus on innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for travel.
- Other info: Dynamic team environment with excellent career advancement potential.
- Why this job: Be at the forefront of AI technology and collaborate with industry giants like Microsoft/OpenAI.
- Qualifications: Proficiency in Python, TypeScript, and cloud fundamentals is essential.
The predicted salary is between 60000 - 80000 £ per year.
Ernst & Young is seeking candidates to join their dynamic FS team in the UK, focusing on producing AI systems across various industries, including financial services, public sector, and more.
The role offers a hybrid working model with client travel and requires skills in Python, TypeScript, and cloud fundamentals.
Join EY to innovate and adapt in the evolving landscape while collaborating with Microsoft/OpenAI for advanced capabilities.
Applied AI Engineer: Cross-Industry Production AI in London employer: Ernst & Young
Contact Detail:
Ernst & Young Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Engineer: Cross-Industry Production AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Ernst & Young. A friendly chat can open doors and give you insights that might just set you apart from the crowd.
✨Tip Number 2
Show off your skills! If you've got projects or experience with Python, TypeScript, or cloud tech, make sure to highlight them in conversations. Real-world examples can really impress potential employers.
✨Tip Number 3
Prepare for the interview by brushing up on AI trends and how they apply across different industries. Being able to discuss how your skills can adapt to various sectors will show you're ready for the challenge.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Applied AI Engineer: Cross-Industry Production AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Applied AI Engineer role. Highlight your experience with Python, TypeScript, and any cloud projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about working with us at Ernst & Young and how you can contribute to our dynamic FS team. Be genuine and let your personality come through.
Showcase Relevant Projects: If you've worked on any AI systems or projects that relate to financial services or public sector, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Ernst & Young
✨Know Your Tech Stack
Make sure you brush up on your Python and TypeScript skills before the interview. Be ready to discuss specific projects where you've used these languages, as well as any cloud technologies you're familiar with. This will show that you’re not just a theoretical candidate but someone who can hit the ground running.
✨Understand the Industry
Since the role involves working across various industries, do some research on how AI is being applied in financial services and the public sector. Bring examples of how AI can solve real-world problems in these areas. This will demonstrate your understanding of the field and your ability to think critically about its applications.
✨Show Your Collaborative Spirit
EY values collaboration, especially with partners like Microsoft and OpenAI. Be prepared to share experiences where you’ve worked in teams or collaborated with others on tech projects. Highlight your communication skills and how you adapt to different team dynamics.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team. Inquire about the types of projects you might work on or how the team integrates new technologies. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.