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- Tasks: Lead a team managing AI/ML applications from testing to production.
- Company: Top telecommunications company focused on innovation and connectivity.
- Benefits: Attractive salary, flexible working options, and career advancement opportunities.
- Why this job: Join us to revolutionise connectivity and make a real impact in the tech world.
- Qualifications: Experience in CI/CD practices and managing AI workloads is essential.
- Other info: Dynamic role with hands-on leadership in a cutting-edge environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading telecommunications company is seeking an AI Infrastructure & Application Manager to oversee a team responsible for managing the lifecycle of AI/ML applications from test to production. This hands-on leadership role includes setting technical direction, designing operational standards, and ensuring observability and reliability for serverless infrastructure. The ideal candidate will have strong experience in CI/CD practices, production readiness, and managing AI workloads. Join us to revolutionize connectivity across the UK.
AI ML Infrastructure & Production Lead in London employer: BT Group
Contact Detail:
BT Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI ML Infrastructure & Production Lead in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your AI/ML projects. This gives potential employers a taste of what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI infrastructure and CI/CD practices. We can help you with mock interviews to boost your confidence!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace AI ML Infrastructure & Production Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with AI/ML applications, CI/CD practices, and any leadership roles you've held. We want to see how you can bring your unique skills to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI infrastructure and how your background makes you the perfect fit for this role. Let us know what excites you about revolutionising connectivity in the UK!
Showcase Your Technical Skills: Don’t forget to include specific examples of your technical expertise, especially around serverless infrastructure and production readiness. We love seeing real-world applications of your skills, so share those success stories with us!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to hear from you!
How to prepare for a job interview at BT Group
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of AI and ML applications. Be ready to discuss your experience with managing the lifecycle of these applications, especially in a production environment. Highlight any specific projects where you’ve set technical direction or designed operational standards.
✨Showcase CI/CD Expertise
Since this role emphasises CI/CD practices, be prepared to talk about your hands-on experience with continuous integration and deployment. Share examples of how you've implemented these practices in previous roles and the impact they had on production readiness.
✨Demonstrate Leadership Skills
As a lead, you'll need to show that you can manage a team effectively. Think of examples where you've successfully led a team, resolved conflicts, or motivated others. This will help demonstrate your capability to oversee a team responsible for AI workloads.
✨Prepare for Technical Questions
Expect some technical questions related to serverless infrastructure and observability. Brush up on the latest tools and technologies in this space, and be ready to explain how you ensure reliability in production environments. This will show that you’re not just a leader but also technically savvy.
