MLOps Engineer

WE ARE AMDARIS

At Amdaris, we bring together exceptional talent to deliver custom software solutions and drive digital transformation. Our acquisition by Insight last year has only solidified our standing in the market to become the leading provider of software solutions and paving the way for an exciting growth trajectory with ambitious future goals. 

Our expertise spans software development, cloud computing, IT strategy, and digital innovation, helping businesses optimise their technology and achieve their strategic objectives. With cutting-edge projects and a dynamic team, there has never been a better time to join us and be part of our journey to shape the future of technology. 

MLOPS ENGINEER RESPONSIBILITIES

We’re looking for a skilled MLOps Engineer to join our team and take charge of building and optimising the infrastructure that powers our machine learning initiatives. 

As an MLOps Engineer, you will play a critical role in enabling and streamlining the end-to-end machine learning lifecycle. You will work on designing, automating and optimising the infrastructure and workflows that support our machine learning models in production. This includes creating scalable environments, automating CI/CD pipelines, and collaborating with cross-functional teams to ensure secure, reliable and high-performance deployments. You will be essential in maintaining model quality, monitoring performance, and implementing best practices to drive data-driven innovation across the organisation. 

Key Responsibilities:

• You will set up and configure ML environments and deployment tools (Kubenetes, Docker, etc). 
• Write scripts to automate workflows and ensure reproductivity of ML experiments. 
• Create and maintain CI/CD pipelines to enable efficient deployment of code by automating development and deployment processes. 
• Collaborate with development teams to enable the delivery of high-quality, secure and scalable applications on the cloud with automated tools and scripts. 
• Recommend best practices and ensure the products developed within the organisation are robust, secure and scalable. 
• Ensure compliance with security and regulatory requirements for MOD and high design assurance software. 

MLOPS ENGINEER REQUIREMENTS

Must hold current and transferable SC Clearance. 

• Proven experience setting up, managing and optimising machine learning infrastructure in production environments.
• Strong knowledge of cloud platforms and containerisation tools like Kubernetes and Docker. 
• Hands-on experience with CI/CD pipelines and proficiency in automation tools. 
• Understanding of security and regulatory requirements, particularly MOD or other high-assurance standards, and experience implementing compliant ML solutions.
• Strong analytical skills and a problem-solving mindset, with the ability to optimise pipelines, manage costs, and maintain model accuracy in production.
• Experience in creating documentation, implementing best practices, and sharing knowledge to maintain consistent standards and foster collaboration across teams.

LIFE AT AMDARIS

• Private Medical Cover
• Work from Anywhere Policy (EMEA)
• Flexible and Hybrid working
• Competitive Employer Pension contributions
• Free Fruit, Snacks and Drinks every week
• Collaborative environment designed for activity-based working
• Cycle to work scheme, Electric car scheme, Gym discounts and many more flexible benefits to use at your leisure
• Health and Wellbeing app which offers a variety of tools, mindfulness, and positivity
• Invest in your personal development through training and qualifications
• Monthly social and charitable events
• Beer on Tap!!