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- Tasks: Deploy and configure AI infrastructure, including GPU servers and networking equipment.
- Company: Join a dynamic team focused on cutting-edge AI technology in the UK/Europe.
- Benefits: Enjoy a competitive daily rate and potential for future contracts.
- Why this job: Be part of a fast-paced environment that shapes the future of AI and HPC.
- Qualifications: Experience in data centres, server hardware, and networking is essential.
- Other info: Contract length is up to 10 weeks with opportunities for extended projects.
Job Description
Job Title: AI Infrastructure Deployment Engineer (Contract)Location: UK/ EuropeContract Length: Up to 10 weeksRate: Competitive daily rate, based on experience
About the Role:
We are looking for a hands-on Infrastructure Engineer with proven experience in the physical and technical deployment of AI-ready environments. This role is critical to building the foundational infrastructure that supports machine learning, high-performance computing (HPC), and GPU-based workloads. The ideal candidate will be experienced in deploying compute nodes, networking, storage, and supporting infrastructure in data centre or enterprise environments.
You’ll play a key role in configuring, testing, and deploying servers, networking equipment, and cabling in support of GPU-based compute clusters. You will work alongside hardware engineers, data center operations teams, and network architects to ensure fast, reliable, and secure deployments.
Key Responsibilities:
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Deploy and configure physical AI infrastructure (e.g., GPU servers, high-speed networking, storage systems)
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Collaborate on rack planning, cabling layouts, and airflow optimization
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Install and test hardware including servers, switches, PDUs, and interconnects
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Perform hardware diagnostics, firmware updates, and performance validation
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Support high-speed interconnects (InfiniBand, Ethernet) and fiber/copper cabling
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Follow best practices for data center operations, including asset tracking and documentation
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Work under tight timelines with precision and attention to quality
Required Experience:
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Proven experience deploying infrastructure in data centers or HPC environments
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Strong understanding of server hardware, GPUs, and networking equipment
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Experience with structured cabling (fiber and copper) and physical installation standards
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Familiarity with BIOS/IPMI/BMC configuration and OS provisioning tools
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Ability to read technical diagrams, rack elevation plans, and cabling schematics
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Comfortable working hands-on in data center environments (lifting, racking, connecting, etc.)
Desirable Skills:
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Previous work on AI, machine learning, or HPC cluster deployments
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Experience with NVIDIA GPUs, DGX systems, or custom AI racks
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Knowledge of Ansible, Redfish, PXE boot, or infrastructure automation tools
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Certifications: CompTIA Server+, Cisco CCNA, BICSI, or similar
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Understanding of thermal and power design for high-density environments
What We Offer:
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Competitive day rate (dependent on experience and scope)
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Opportunity to work on cutting-edge AI infrastructure deployments
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Fast-paced, technical environment with a highly skilled team
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Potential for future contracts on extended projects
AI Infrastructure Deployment Engineer employer: Cerco
Contact Detail:
Cerco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Infrastructure Deployment Engineer
✨Tip Number 1
Familiarise yourself with the latest AI infrastructure technologies and trends. Being knowledgeable about GPU servers, high-speed networking, and storage systems will not only boost your confidence but also impress our hiring team during discussions.
✨Tip Number 2
Network with professionals in the AI and HPC fields. Attend relevant meetups or online forums to connect with others who have experience in deploying AI infrastructure. This can lead to valuable insights and potential referrals.
✨Tip Number 3
Prepare to discuss your hands-on experience in data centre environments. Be ready to share specific examples of past projects where you deployed compute nodes or configured networking equipment, as this will demonstrate your practical skills.
✨Tip Number 4
Showcase your problem-solving abilities. During interviews, highlight instances where you successfully diagnosed hardware issues or optimised deployments under tight timelines, as this aligns perfectly with the demands of the role.
We think you need these skills to ace AI Infrastructure Deployment Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in deploying AI infrastructure, HPC environments, and any specific technologies mentioned in the job description, such as GPUs and networking equipment.
Craft a Strong Cover Letter: Write a cover letter that showcases your hands-on experience with physical deployments and your ability to work under tight timelines. Mention specific projects or achievements that align with the responsibilities of the role.
Highlight Technical Skills: In your application, emphasise your technical skills related to server hardware, structured cabling, and any familiarity with tools like Ansible or Redfish. This will demonstrate your capability to meet the job requirements.
Showcase Collaboration Experience: Include examples of how you've collaborated with teams in previous roles, especially with hardware engineers or data centre operations teams. This is crucial for the role and will set you apart from other candidates.
How to prepare for a job interview at Cerco
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with deploying AI infrastructure. Highlight specific projects where you've configured GPU servers, networking equipment, or storage systems, and be ready to explain the challenges you faced and how you overcame them.
✨Understand the Role's Requirements
Familiarise yourself with the key responsibilities outlined in the job description. Be ready to talk about your experience with structured cabling, hardware diagnostics, and data centre operations, as these are crucial for the role.
✨Demonstrate Collaboration Skills
Since this role involves working closely with hardware engineers and network architects, prepare examples of how you've successfully collaborated in past projects. Emphasise your ability to communicate technical concepts clearly to non-technical team members.
✨Prepare for Technical Questions
Expect to face technical questions related to server hardware, networking equipment, and AI infrastructure. Brush up on your knowledge of BIOS/IPMI/BMC configurations and be ready to interpret technical diagrams and schematics during the interview.
