Cabling Engineer- AI Infrastructure

Job Title: Cabling Engineer - AI Infrastructure (Contract) Location: UK/ Europe Duration: Up to 10 weeks Contract Type: Fixed-term / Contract

We are seeking highly skilled Cabling Engineers with a strong background in deploying and maintaining infrastructure to support AI, cloud computing, and data-intensive environments. The ideal candidate will have hands-on experience in structured cabling, fibre optics, and the installation of enterprise-grade networking systems within data centres or edge computing environments.

You’ll be working closely with infrastructure architects, data centre technicians, and network engineers to ensure robust and tidy installations that meet enterprise standards. If you're a detail-oriented professional with experience in data centre environments and a passion for emerging technologies like AI, we want to hear from you.

• Install and terminate copper and fibre cabling to support high-performance AI compute systems

• Route, secure, and label cables in accordance with industry standards (TIA/EIA)

• Rack and stack network, compute, and storage hardware

• Perform cable testing, certification, and troubleshooting as needed

• Interpret technical drawings, rack elevation diagrams, and cabling schematics

• Collaborate with internal teams to align installation timelines and dependencies

• Maintain clean, well-organized cabling pathways and documentation

• Proven experience in structured cabling within data centres or enterprise environments

• Strong knowledge of CAT6/6A, fibre optics (single-mode/multi-mode), patch panels, and cable management

• Familiarity with rack layouts, airflow considerations, and best practices for cable dressing

• Comfortable using tools like cable testers, crimpers, fiber cleavers, and fusion splicers

• Understanding of network topologies and equipment (e.g., switches, servers, PDUs)

• Previous work on large-scale AI, HPC, or cloud infrastructure projects

• Certifications such as BICSI, CNCI, or similar

• Familiarity with AI-focused hardware (e.g., GPU clusters, NVIDIA infrastructure)

• Ability to work independently and meet tight deployment time lines

• Competitive daily rate (based on experience)

• Exposure to cutting-edge AI infrastructure deployments

• Supportive and fast-paced technical environment

• Opportunity for repeat contracts or long-term engagement