At a Glance
- Tasks: Lead a dynamic AI engineering team and drive innovative AI solutions in telecommunications.
- Company: Join a forward-thinking company at the forefront of AI technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting projects with room for creativity and career advancement.
- Why this job: Shape the future of AI while mentoring a talented team and making impactful decisions.
- Qualifications: Hands-on coding skills, leadership experience, and a passion for AI technologies.
The predicted salary is between 60000 - 84000 £ 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, prioritizing 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 organizational 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
- Proven track record in people management and delivery leadership
- Hands-on exposure to AI initiatives including GenAI, voice bots, AI agents, and similar technologies
- Solid understanding of software engineering fundamentals and principles
- ROI-focused mindset for evaluating and delivering AI solutions
- 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 Ltd
As an AI Engineering Manager in our dynamic telecommunications environment, you will thrive in a culture that prioritises innovation and collaboration. We offer competitive benefits, a commitment to employee development through continuous learning opportunities, and a supportive atmosphere that encourages creativity and technical excellence. Join us to lead a talented team and make a significant impact in the rapidly evolving field of AI.
Contact Details:
Lebara Media Services Private Ltd 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 meetups, webinars, or even just grab a coffee with someone in the field. 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 you've done. This is your chance to demonstrate your technical chops and leadership experience in a tangible way.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and scenarios. Think about how you would manage a team or tackle a project from ideation to deployment. Practice makes perfect, so get a friend to do mock interviews with you!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience in leading AI initiatives and your understanding of the telecommunications landscape.
We think you need these skills to ace AI Engineering Manager in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the AI Engineering Manager role. Highlight your experience in leading teams, managing AI projects, and any hands-on coding skills you have. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your leadership style can drive our team forward. Be sure to mention specific experiences that relate to the responsibilities listed in the job description.
Showcase Your Technical Skills:Don’t hold back on your technical expertise! Whether it's MLOps, cloud platforms, or coding in Python, make sure these skills are front and centre. We love seeing candidates who can bridge the gap between technical and managerial roles.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Lebara Media Services Private Ltd
✨Know Your AI Stuff
Make sure you brush up on your AI knowledge, especially around the technologies mentioned in the job description. Be ready to discuss your hands-on coding experience and any AI projects you've led or been involved in. This will show that you’re not just a manager but also technically savvy.
✨Showcase Your Leadership Skills
Prepare examples of how you've built and managed high-performing teams in the past. Think about specific instances where you mentored team members or improved team dynamics. This is your chance to demonstrate your people management skills and how you foster technical excellence.
✨Understand the Business Side
Familiarise yourself with the telecommunications sector and how AI can drive value in this space. Be ready to discuss how you would translate business requirements into actionable AI backlogs. Showing that you have a ROI-focused mindset will impress the interviewers.
✨Be Ready for Stakeholder Scenarios
Think about how you would coordinate with various stakeholders, such as Data Governance and Security teams. Prepare to discuss how you manage delivery expectations and ensure compliance with governance frameworks. This will highlight your strategic delivery and stakeholder management skills.
