Director, Networks and AI

Location: London

Time Type: Full time

Job Description

What you will be doing

• Develop network and AI strategy, architecture principles and technology roadmaps in partnership with senior leaders and operating companies.
• Establish and lead governance frameworks that ensure the highest value network and AI initiatives are identified, prioritised and implemented.
• Lead the integration of AI and machine learning into network planning, operations, optimisation and maintenance.
• Identify, assess and scale AI use cases that improve network performance, incident response, capacity planning and operational effectiveness.
• Shape a safe and governed approach to AI adoption, ensuring appropriate ownership, auditability, human oversight and production controls.
• Partner with Security, Data and AI governance teams to manage risks associated with AI deployment.
• Evaluate technology partners and vendor capabilities, supporting informed investment and technology decisions.
• Build strong partnerships across operating companies and central teams to promote consistent standards and ways of working.

We tend to look for people with

• Experience applying AI, machine learning or AIOps within network planning, engineering or operations in a telecommunications environment.
• Strong knowledge of network architecture, including 5G standalone, radio access networks and AI enabled network operations.
• Understanding of AI governance, model lifecycle management, telemetry, data pipelines and production deployment practices.
• Ability to translate complex technical concepts into clear recommendations for senior stakeholders.
• Experience defining technical standards and supporting adoption across multiple business entities.
• Strong stakeholder management, communication and influencing skills.
• Inclusive leadership approach with the ability to work effectively across different teams, countries and cultures.
• Ability to navigate ambiguity and adapt to changing business priorities.

• Familiarity with AI observability, model evaluation and agent tracing tools.
• Experience working with hyperscaler AI platforms, model gateways or AI guardrail solutions.
• Experience supporting network transformation or large scale technology programmes.
• Commercial understanding of broadband, mobile and digital communications markets.

• Degree in Engineering, Telecommunications, Computer Science, Artificial Intelligence or a related discipline, or equivalent practical experience.
• Professional certifications or continued learning in AI, machine learning, MLOps or AI safety.

What's in it for you?

• Competitive salary and bonus opportunity.
• 25 days annual leave with the option to purchase up to 5 additional days.
• Access to wellbeing and mental health support, including the Calm app.
• Private medical cover, critical illness cover and dental insurance.
• Matched pension contribution of up to 10%.
• 24 hours of paid Volunteer Time Off.
• Discounted gym and wellness memberships.
• Access to our car benefit scheme.
• Access to our online learning platform to support your continued development.
• The opportunity to be part of an innovative, collaborative and purpose driven team.

Who we are