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Junior DevOps/MLOps Engineer
Remote / Online - Candidates ideally in
Netherton, Dudley, West Midlands, NE23, England, UK
Listed on 2026-10-14
Netherton, Dudley, West Midlands, NE23, England, UK
Listing for:
Adria Solutions Ltd
Full Time, Remote/Work from Home
position Listed on 2026-10-14
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, Machine Learning/ ML Engineer, SRE/Site Reliability, AWS
Job Description & How to Apply Below
Location: Netherton
Junior Dev Ops / MLOps Engineer
We are looking for a Junior Dev Ops / MLOps Engineer to help build, automate and maintain the infrastructure and pipelines that deliver software and machine learning models into production.
Working alongside software and AI engineers, you will support reliable deployments, improve automation and help ensure production systems operate effectively as demand grows. This role would suit an early-career engineer with a foundation in cloud computing, scripting or software development and an interest in machine learning infrastructure.
Key Responsibilities
Support the configuration and maintenance of AWS infrastructure for software applications and machine learning workloads.
Help build and maintain CI/CD pipelines using Git Hub 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 Git Hub Copilot to support development and automation, reviewing and testing generated code carefully.
Essential Skills and Experience
Practical experience gained through employment, an apprenticeship, university projects or personal development.
Familiarity with Git and Git Hub for version control and collaborative development.
A basic understanding of AWS services and cloud infrastructure.
Some scripting or programming experience, ideally Python, Bash or Power Shell.
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
Git Hub Actions or another CI/CD tool.
Linux administration and Docker containers.
Infrastructure as code, such as Terraform or AWS Cloud Formation.
Exposure to model versioning, experiment tracking or MLOps tools.
Experience using Git Hub Copilot.
What You Will Contribute
You will help create repeatable deployment processes, reduce manual work and improve the reliability of software and machine learning systems in production.
Benefits:
Hybrid / Remote working
Flexible working
+ other benefits
Interested? Please Click Apply Now!
Junior Dev Ops / MLOps Engineer
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