About the role

We are looking for a curious, hands-on person to join our Network Operations team at our AI data centre. We host AI systems that affect real people and organisations, we also care about how this infrastructure is run responsibly. You will learn how ethics, governance, data protection and sustainability shape the way an AI data centre operates.

No previous data centre or networking job experience is required. Whether you're fresh from university or switching from another field, we care about your aptitude, reliability and willingness to learn.

What you will do

• Network monitoring and support
• Physical network operations
• Change, documentation and accuracy
• Responsible operations and governance
• Working with the wider team and liasing with other departments

Education and qualifications

Essential

First preference: degree holders
Applicants with a bachelor's degree (BA, BSc, BEng or equivalent)

Degrees in any discipline are accepted, and the following are particularly relevant:

• Computer networking, computer science or information technology
• Electrical, electronic or telecommunications engineering
• Cyber security or systems administration
• Physics, mathematics or other technical subjects
• Data science, artificial intelligence, or subjects with modules in AI ethics, technology law, policy or governance

Also considered: career changers and non-degree applicants
We will also consider applicants who hold:
A foundational understanding of networking, gained through study, certification, projects or self-learning                                                          A Level 3 qualification or above in IT, networking or engineering, or
Substantial relevant practical experience, such as in telecoms, electronics, IT support, or field engineering

Desirable

• Entry-level certifications, such as Cisco CCNA, CompTIA Network+ or CompTIA A+, or Juniper JNCIA
• Completion of a relevant apprenticeship, bootcamp or online networking course
• A final-year project, placement or internship involving networking, infrastructure or systems
• Coursework, a dissertation or short courses covering AI ethics, responsible AI, data governance or technology policy

What we are looking for
Essential

1. Understanding of core networking concepts, including the OSI model, TCP/IP, IP addressing and subnetting, VLANs, DNS, DHCP and basic routing and switching
2. Basic awareness of AI ethics and governance, including why fairness, transparency, accountability, privacy and security matter in AI systems and the infrastructure that supports them
3. Awareness of data protection principles under UK GDPR and why customer data must be kept secure and segregated
4. A methodical, logical approach to troubleshooting and a calm manner when working with live systems
5. Attention to detail, particularly with cabling, labelling and documentation
6. Willingness to learn quickly and follow procedures carefully
7. Clear written and verbal communication, including writing concise tickets and handover notes
8. Ability to work safely in a data centre environment, including lifting equipment and working in noisy, temperature-controlled halls
9. Willingness to undergo security screening

Desirable

1. Familiarity with AI governance and regulatory frameworks, such as the UK government's principles-based approach to AI regulation, the EU AI Act (relevant to many customers), the NIST AI Risk Management Framework or ISO/IEC 42001
2. Awareness of responsible AI topics such as bias, explainability, data sovereignty, acceptable use and the environmental impact of AI compute
3. Awareness of wider frameworks such as ISO/IEC 27001, Cyber Essentials and the NCSC's guidance on securing infrastructure
4. Basic Linux command line skills
5. Familiarity with network monitoring tools, ticketing systems or basic scripting (Python, Bash)
6. Awareness of data centre network designs, such as spine-leaf architectures
7. Previous experience in a technical, hands-on or safety-critical role

What you will gain

• A structured induction covering data centre safety, operations, network fundamentals and responsible AI
• A named mentor and a personal development plan
• Hands-on experience with cutting-edge AI infrastructure, including high-density GPU networking that few early-career roles offer
• Exposure to how AI governance, compliance and ethics are applied in practice, a growing and valuable specialism
• A clear progression path from Junior Network Operations Technician to Network Operations Technician, Network Engineer and beyond

Security screening and working environment
This role involves access to a secure, critical infrastructure facility. The successful candidate will need to pass pre-employment screening, including covering identity, employment and education history and a criminal record check.

How to apply
Send your CV and a short covering note (up to one page) explaining what draws you to network operations and AI infrastructure before 30 October 2026. Tell us about any study, projects or interest you have in responsible AI, and if you're changing careers, the skills you bring from your current or previous work.