At a Glance
- Tasks: Lead a team to manage AI/ML application lifecycle and implement MLOps frameworks.
- Company: Top telecommunications company in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Drive innovation in AI technologies and ensure secure applications at enterprise scale.
- Qualifications: Strong background in AI technologies and proven leadership experience.
- Other info: Join a dynamic team and shape the future of AI in telecommunications.
The predicted salary is between 48000 - 72000 £ per year.
A leading telecommunications company in Greater London is seeking an AI Infrastructure & Application Manager to lead a team of engineers responsible for the AI/ML application lifecycle.
Key responsibilities include:
- Implementing an MLOps framework
- Ensuring production readiness for workloads
- Supporting operations using AWS services
The ideal candidate will have a strong background in AI technologies and leadership experience. This role emphasizes innovation and ensures reliable, secure AI applications at an enterprise scale.
AI Platform & Production Systems Leader employer: BT Group
Contact Detail:
BT Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Platform & Production Systems Leader
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and leadership examples. We recommend practising common interview questions related to AI/ML and MLOps frameworks so you can showcase your expertise confidently.
✨Tip Number 3
Don’t forget to tailor your approach! When you apply through our website, make sure to highlight your experience with AWS services and any innovative projects you've led. This will show them you’re the perfect fit for their team.
✨Tip Number 4
Follow up after your interviews! A quick thank-you email can go a long way in keeping you top of mind. We suggest mentioning something specific from your conversation to remind them why you’re the ideal candidate.
We think you need these skills to ace AI Platform & Production Systems Leader
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI technologies and leadership roles. We want to see how your background aligns with the responsibilities of leading a team in the AI/ML application lifecycle.
Showcase Your Skills: In your cover letter, emphasise your expertise in implementing MLOps frameworks and working with AWS services. We’re looking for candidates who can demonstrate their technical skills and innovative mindset.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your achievements and how they relate to the role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at BT Group
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies and MLOps frameworks. Be ready to discuss specific projects you've worked on, especially those involving AWS services. This will show that you not only understand the theory but also have practical experience.
✨Show Your Leadership Skills
Prepare examples that highlight your leadership experience. Think about times when you led a team through challenges or implemented innovative solutions. This is crucial for demonstrating that you can guide a team effectively in a fast-paced environment.
✨Understand the Company’s Vision
Research the telecommunications company and its approach to AI applications. Knowing their goals and how they integrate AI into their operations will help you align your answers with their vision, making you a more attractive candidate.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of the interview. Inquire about their current AI projects, challenges they face, or how they measure success in AI initiatives. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.