About this role
Salary: £35,000 - 45,000 per year
Requirements: Practical experience gained through employment, an apprenticeship, university projects, or personal developmentFamiliarity with Git and GitHub for version control and collaborative developmentA basic understanding of AWS services and cloud infrastructureSome scripting or programming experience, ideally in Python, Bash, or PowerShellAn understanding of automated testing and software deployment principlesStrong problem-solving skills and a willingness to learnAn interest in how machine learning models are deployed, monitored, and maintainedDesirable: experience with GitHub Actions or another CI/CD toolDesirable: Linux administration and Docker containersDesirable: infrastructure as code, such as Terraform or AWS CloudFormationDesirable: exposure to model versioning, experiment tracking, or MLOps toolsDesirable: experience using GitHub Copilot Responsibilities: Support the configuration and maintenance of AWS infrastructure for software applications and machine learning workloadsHelp build and maintain CI/CD pipelines using GitHub and associated automation toolsAutomate routine deployment, configuration, and operational tasksSupport the packaging, versioning, and deployment of machine learning modelsMonitor infrastructure and deployment pipelines, investigate issues, and help implement fixesWork with developers to maintain consistent development, testing, and production environmentsFollow good practices for access management, secrets, security, and documentationUse GitHub Copilot to support development and automation, carefully reviewing and testing generated codeHelp create repeatable deployment processes, reduce manual work, and improve the reliability of software and machine learning systems in production Technologies: AIAWSBashCI/CDCloudCopilotDevOpsDockerGitGitHubSupportLinuxMachine LearningMLOpsPowerShellPythonSecurityTerraform More:
We are looking for an early-career Junior DevOps / MLOps Engineer to help build, automate, and maintain the infrastructure and pipelines that deliver software and machine learning models into production. You will work alongside software and AI engineers to support reliable deployments, improve automation, and help production systems operate effectively as demand grows. We offer hybrid or remote working, flexible working, and other benefits.
last updated 42 week of 2026