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For Companies At a Glance
- Tasks: Lead AI projects, mentor teams, and ensure top-notch delivery in regulated environments.
- Company: A leading professional services firm with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Strong software engineering skills and applied AI expertise; PhD preferred but not required.
- Other info: Exciting role with client engagement and travel opportunities.
The predicted salary is between 60000 - 80000 £ per year.
A leading professional services firm is seeking a Senior Applied AI Engineer (Manager) to lead technical delivery in AI services across the UK. Candidates should possess strong software engineering and applied AI expertise, along with cloud architecture experience. This role offers a hybrid work model, requiring periodic client travel, and involves mentoring teams, engaging stakeholders, and ensuring production-ready systems in regulated environments. A PhD is desirable but not essential.
Senior Applied AI Engineer & Tech Lead (Hybrid) in London employer: EY
Contact Detail:
EY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied AI Engineer & Tech Lead (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups, webinars, or even local events to meet potential employers and get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your best projects in applied AI and software engineering. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and AI concepts. Practice common interview questions and consider mock interviews with friends or mentors to build confidence.
✨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 stay updated on new roles as they come up.
We think you need these skills to ace Senior Applied AI Engineer & Tech Lead (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your software engineering and applied AI expertise. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects and skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Applied AI Engineer role. Mention your cloud architecture experience and how you’ve led teams in the past.
Showcase Your Leadership Skills: Since this role involves mentoring teams and engaging stakeholders, make sure to highlight any leadership experiences you have. We love to see examples of how you've guided others and ensured successful project delivery.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at EY
✨Know Your AI Inside Out
Make sure you brush up on your applied AI knowledge. Be ready to discuss your previous projects, the technologies you used, and how you tackled challenges. This role is all about leading technical delivery, so showcasing your expertise will definitely impress.
✨Showcase Your Leadership Skills
As a Tech Lead, you'll be mentoring teams and engaging stakeholders. Prepare examples of how you've successfully led projects or teams in the past. Highlight your ability to communicate complex ideas clearly and how you’ve fostered collaboration among team members.
✨Understand Cloud Architecture
Since cloud architecture experience is key for this position, make sure you’re familiar with the latest trends and tools in cloud computing. Be ready to discuss how you've implemented cloud solutions in previous roles and how they can benefit AI services.
✨Prepare for Client Engagement Scenarios
Given the hybrid work model and client travel, think about how you would handle client interactions. Prepare to discuss how you would manage expectations, gather requirements, and ensure that the technical delivery aligns with client needs. This shows you're not just a techie but also a great communicator.