AI Infrastructure Engineer

Location: Manchester, hybrid with 2 to 3 days a week on site

Day rate: £700–£800 per day, inside IR35

Company

hirify.global is recruiting for a financial services organization developing an enterprise AI platform.

What you will do

• Build and run infrastructure for a new enterprise AI platform used across the business.
• Design and manage GPU compute environments in AWS or Azure and on-premise environments.
• Deploy and scale Kubernetes clusters hosting machine learning models and LLM workloads.
• Automate infrastructure provisioning and deployments with infrastructure as code and CI/CD pipelines.
• Collaborate with data scientists and ML engineers to productionize models reliably.
• Set up monitoring, logging, cost tracking, and controls for regulatory compliance, data security, and resilience.

Requirements

• Strong cloud or infrastructure engineering background with AWS or Azure.
• Hands-on Kubernetes and containerization experience, including Docker and Helm.
• Experience managing GPU infrastructure, including the NVIDIA stack, CUDA drivers, and GPU scheduling.
• Infrastructure as code experience using Terraform or a similar tool.
• Familiarity with MLOps tools such as MLflow, Kubeflow, or SageMaker.
• Scripting experience with Python or Bash.

Nice to have

• Experience working in a regulated environment such as banking or insurance.

Culture & Benefits

• 9-month contract in the financial services industry.
• Hybrid working arrangement with 2 to 3 days per week on site in Manchester.
• Contract is inside IR35.
• Opportunity to shape infrastructure standards and best practices as the AI capability grows.