At a Glance
- Tasks: Lead a dynamic AI engineering team and drive innovative AI solutions in telecommunications.
- Company: Join a forward-thinking telecom company at the forefront of AI technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting environment with endless opportunities for career advancement.
- Why this job: Shape the future of AI in telecom and make a real impact on cutting-edge projects.
- Qualifications: Experience in AI development, strong leadership skills, and a passion for technology.
The predicted salary is between 80000 - 100000 £ per year.
Lead and scale a high-performing AI engineering team while driving end-to-end delivery of AI solutions from ideation through production deployment in the telecommunications sector.
Responsibilities:
- Team Leadership & Development
- Build, manage, and mentor a team of AI Engineers and researchers through hiring, onboarding, and regular 1:1s
- Foster technical excellence by documenting and championing engineering best practices
- Conduct daily/weekly/monthly delivery ceremonies including stand-ups and sprint planning
- Strategic Delivery & Roadmap Ownership
- Co-own and execute the AI roadmap alongside the AI Solution Architect
- Manage the AI engineering backlog, prioritising initiatives in collaboration with the Solution Architect
- Translate business requirements into actionable AI backlogs with product managers
- Own complete AI delivery lifecycle from concept to production deployment
- Stakeholder Management & Governance
- Coordinate across organisational stakeholders including Data Governance, Security, and country business teams
- Manage delivery expectations by clearly defining experiments, rollouts, and solution iterations
- Ensure compliance with internal and external governance frameworks and regulations
- Advocate for AI trends and technological advancements relevant to telecommunications
- Quality & Performance Management
- Maintain high standards in AI delivery and operations
- Track team progress and solution performance using relevant KPIs and metrics
- Adhere to AI development and delivery engineering lifecycle standards
Skills & Requirements:
- Hands-on coding skills and active involvement in AI development
- Practical experience in AI operations and MLOps
- Knowledge of digital and data technologies including web/mobile applications and DataLake architectures.
- Leadership Excellence: Proven track record in people management and delivery leadership
- AI Project Experience: Hands-on exposure to AI initiatives including GenAI, voice bots, AI agents, and similar technologies
- Technical Foundation: Solid understanding of software engineering fundamentals and principles
- Business Acumen: ROI-focused mindset for evaluating and delivering AI solutions
- Cloud & AI Expertise: Working knowledge of cloud platforms and familiarity with AI tools, frameworks, and concepts including LLMs, RAG, prompt engineering, and Python programming
AI Engineering Manager in London employer: Lebara Media Services Private
Lebara is an exceptional employer, offering a dynamic work environment in the heart of London, where innovation meets growth. As an Accounts Payable Assistant, you'll be part of a transformative journey within a supportive team that values collaboration and efficiency, while enjoying hybrid working arrangements. With a commitment to employee development and a culture that prioritises diversity and inclusion, Lebara provides a unique opportunity to contribute to a leading telecommunications company that is dedicated to delivering value to its customers.
Contact Details:
Lebara Media Services Private Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineering Manager in London
✨Tip Number 1
Network like a pro! Reach out to folks in the telecommunications sector, especially those working with AI. Attend industry meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially any hands-on coding or MLOps work. This is your chance to demonstrate your technical chops and leadership experience. Make sure it’s easy to access and share when you’re chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and scenarios. Think about how you’d lead a team through challenges or deliver a project from concept to deployment. Practise articulating your thought process and decision-making skills – they want to see your leadership style in action!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Tailor your application to highlight your experience in managing AI teams and delivering solutions, and let us know how you can contribute to our mission in the telecommunications space.
We think you need these skills to ace AI Engineering Manager in London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! We want to see how excited you are about leading a team and driving innovative solutions in the telecommunications sector.
Tailor Your Experience:Make sure to highlight your relevant experience in AI engineering and people management. We love seeing how your past roles have prepared you for this position, so don’t hold back on those details!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your skills and experiences are easy to understand. Avoid jargon unless it’s absolutely necessary!
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 Lebara Media Services Private
✨Know Your AI Stuff
Make sure you brush up on your AI knowledge, especially around the technologies mentioned in the job description like GenAI and MLOps. Be ready to discuss your hands-on experience with these tools and how you've applied them in real-world scenarios.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in managing and mentoring teams. Think about specific situations where you’ve fostered technical excellence or improved team performance. This will demonstrate your capability to lead a high-performing AI engineering team.
✨Understand the Business Side
Get familiar with how AI solutions can drive ROI in the telecommunications sector. Be prepared to discuss how you’ve translated business requirements into actionable AI projects and how you prioritised initiatives in collaboration with stakeholders.
✨Be Ready for Technical Questions
Expect some technical questions related to coding and software engineering principles. Brush up on your Python skills and be ready to discuss your approach to AI development and delivery lifecycle standards. This will show that you have the technical foundation needed for the role.
