Cloud & AI Technology Lead
Listed on 2026-10-28
-
IT/Tech
Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software)
The job requirements are detailed below.
Make a Meaningful Impact Behind the Scenes at Capital City CollegeAre you ready to make an impact at one of London’s leading Further Education providers? Capital City College is looking for a skilled Cloud & AI Technology Lead to support and drive key operational functions, helping shape the future of education in the heart of London.
About the RoleThis role is offered on a full time, fixed-term hybrid basis. 3 days on site and 2 days across multiple sites. The contract will end on 29 th of October 2027.
The Cloud and AI Lead will provide hands‑on technical expertise to support Capital City College's work in cloud-enabled learning and the responsible adoption of artificial intelligence.
The postholder will play a key role in the architecture, design, configuration and delivery of secure, reliable and accessible virtual learning environments. These environments will enable CCC staff and learners, and learners at partner colleges across the UK, to access state‑of‑the‑art technologies and tools, including virtual machines, hosted AI models, specialist software, data environments and GPU computing.
About the TeamYou will join a friendly, professional team committed to delivering high‑quality support across the college. Working together, you’ll help create a positive and inclusive environment where everyone feels valued.
You will be joining a dynamic and supportive team of colleagues who are committed to excellence. The team has a strong collaborative culture, sharing best practice and innovative approaches.
About YouWe’re looking for a reliable and motivated individual who takes pride in delivering excellent service. You should bring:
- A degree in computing, software engineering, cloud computing, artificial intelligence, data science or a related discipline, or equivalent substantial professional experience.
- At least three years' experience in software development, cloud engineering, platform engineering or a related technical role.
- Hands‑on experience of designing, configuring and supporting solutions on Azure or another major cloud platform.
- Experience of contributing to technical architecture and translating user requirements into workable solutions.
- Experience of supporting services through design, setup, testing, deployment, documentation and ongoing improvement.
- Practical knowledge of AI technologies, including generative AI, large language models, APIs and workplace AI tools.
Capital City College (CCC),one of the UK’s largest FE colleges in the UK. This influential group supports over
35,000 students based across 12 London campuses annually to develop the skills and knowledge to advance their career prospects or progress into higher education. This is done by an unrelenting commitment to curriculum innovation and an obsession with the quality of the student experience, which is underpinned by a resilient and prudent approach to financial management. Capital City College are widely recognised for their commitment to diversity, inclusivity, and educational excellence, positively impacting the lives of students across the capital and beyond.
Join Capital City College?
This is an exciting opportunity to become part of a passionate, purpose‑driven team that puts learners first. At CCC, we value the dedication of our staff and offer a comprehensive benefits package including:
- Membership of the Local Government Pension Scheme
- Access to TELLUS – our discount and wellbeing platform
- Participation in the Cycle to Work scheme
- Interest‑free season ticket loans for public transport
- Annual eye tests and contributions towards spectacles
- Flu vaccinations and access to occupational health services
- Medicash health plans – including cashback on everyday medical expenses…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).