Ofertas › Adria Solutions Ltd
Adria Solutions Ltd · Netherton, United Kingdom · £35,000 - 45,000 per year
Salary: £35,000 - 45,000 per year Requirements: Practical experience gained through employment, an apprenticeship, university projects, or personal development Familiarity with Git and GitHub for version control and collaborative development A basic understanding of AWS services and cloud infrastructure Some scripting or programming experience, ideally in Python, Bash, or PowerShell An understanding of automated testing and software deployment principles Strong problem-solving skills and a willingness to learn An interest in how machine learning models are deployed, monitored, and maintained Desirable: experience with GitHub Actions or another CI/CD tool Desirable: Linux administration and Docker containers Desirable: infrastructure as code, such as Terraform or AWS CloudFormation Desirable: exposure to model versioning, experiment tracking, or MLOps tools Desirable: experience using GitHub Copilot Responsibilities: Support the configuration and maintenance of AWS infrastructure for software applications and machine learning workloads Help build and maintain CI/CD pipelines using GitHub and associated automation tools Automate routine deployment, configuration, and operational tasks Support the packaging, versioning, and deployment of machine learning models Monitor infrastructure and deployment pipelines, investigate issues, and help implement fixes Work with developers to maintain consistent development, testing, and production environments Follow good practices for access management, secrets, security, and documentation Use GitHub Copilot to support development and automation, carefully reviewing and testing generated code Help create repeatable deployment processes, reduce manual work, and improve the reliability of software and machine learning systems in production Technologies: AI AWS Bash CI/CD Cloud Copilot DevOps Docker Git GitHub Support Linux Machine Learning MLOps PowerShell Python Security Terraform 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 43 week of 2026