AI Infrastructure Engineer at SCC, United Kingdom, £Contract Rate

AI Infrastructure Engineer - London / Bracknell / Birmingham / Leeds / Manchester / Livingston - Hybrid - SCC Flex Contract

We are seeking an experienced AI Infrastructure Engineer to support high-profile transformation and technology initiatives across a complex enterprise environment. This is an exciting opportunity for an AI Infrastructure Engineer to join a dynamic client programme, driving the design, deployment and optimisation of cutting-edge AI infrastructure solutions. The successful AI Infrastructure Engineer will play a key role in enabling scalable AI capabilities while ensuring security, resilience and operational excellence.

Your responsibilities as the AI Infrastructure Engineer:

• Design, implement and support scalable AI infrastructure platforms across enterprise environments.
• Build and optimise infrastructure to support AI, machine learning and large-scale data processing workloads.
• Collaborate with architects, engineers, data scientists and business stakeholders to deliver robust AI-enabled solutions.
• Design and maintain cloud and hybrid infrastructure environments, ensuring high availability and performance.
• Support transformation programmes and continuous improvement initiatives through innovative infrastructure solutions.
• Ensure all solutions align with organisational security, governance, compliance and operational standards.
• Automate infrastructure deployment and management using Infrastructure as Code (IaC) and DevOps practices.
• Monitor, troubleshoot and optimise AI infrastructure performance, capacity and reliability.
• Provide technical leadership, expertise and best-practice guidance across AI infrastructure and platform technologies.
• Contribute to technical roadmaps, architecture reviews and strategic technology initiatives.

As a successful AI Infrastructure Engineer, you will have:

• Proven experience working as an AI Infrastructure Engineer within large-scale enterprise environments.
• Strong experience designing, deploying and supporting infrastructure for AI and machine learning workloads.
• Expertise in cloud platforms such as Azure, AWS and/or Google Cloud Platform.
• Experience with containerisation and orchestration technologies including Docker and Kubernetes.
• Strong understanding of Infrastructure as Code tools such as Terraform, ARM, Bicep or CloudFormation.
• Experience with CI/CD pipelines, DevOps methodologies and infrastructure automation.
• Knowledge of enterprise networking, storage, compute platforms and high-performance infrastructure environments.
• Understanding of AI/ML frameworks, GPU-based infrastructure and data platform technologies.
• Strong stakeholder management, communication and collaboration skills.
• Excellent analytical, troubleshooting and problem-solving abilities.
• Experience delivering enterprise-scale technology solutions within complex environments.
• Relevant certifications and industry experience are highly desirable.

If you are an AI Infrastructure Engineer seeking a challenging and rewarding contract opportunity where you can make an immediate impact on critical transformation programmes, we would love to hear from you. Apply today - Professional references required.

NOTE: At SCC, we take the privacy and security of your information very seriously. Any information we hold will be handled in accordance with current data protection legislation. Upon submitting your application, SCC will process your information in line with our privacy policy, which can be found on our website under Legal Privacy Notice Flexible Resourcing.