DevOps (MLOps) - Home Office - SEO

Location

Croydon, Manchester, Sheffield, Glasgow

About the job

Job summary

The Automation & Innovation (A&I) function is the Home Office’s strategic partner for automation, AI, and innovation delivery, operating within the Chief Technology Office. Automation & Innovation delivers secure, value‑driven solutions that remove manual effort, improve operational efficiency, and enable smarter ways of working across the department. Our AI as a Service platform is a critical enabler for AI delivery across the department. This trailblazing multi-cloud service is creating secure, scalable and reusable AI microservices to enable teams across the Home Office to harness AI to transform public services. The successful candidate for this role will join our growing AI as a Service team. 

Where business needs allow some roles may be suitable for a combination of office and home-based working. Where this is the case, employees will be expected to spend a minimum of 60% of their working time in the office. 

Watch this short video to hear from members of Home Office Digital talking about the projects they work on and their experience of working here: Working for Home Office Digital. 

Job description

The DevOps (MLOps) Engineer ensures service reliability and performance by maintaining and supporting key components, proactively monitoring metrics, and performing updates to ensure accessibility, stability, and capacity for production and deployment.

They provide guidance on CI/CD (Continuous Integration/Delivery) pipelines, advising developers on best practices to enable secure and efficient deployments. They help streamline automation and software delivery processes, ensuring the platform is effectively utilised.

They share common responsibilities in automation, reliability, and infrastructure management with other DevOps colleagues. Additionally, they collaborate with teams to ensure secure, scalable, and well-monitored platforms that align with business needs.

Tools and Technologies we use: 
We are keen for Engineers to continue learning new technologies, we have a large range in the Home Office including: 

• Backend: Java, Node.js, C#, Python, PHP, Scala, Power Platform
• Frontend: React, JavaScript, Typescript, Angular 
• Data: PostgreSQL, Microsoft SQL Server, MongoDB, Apache Kafka, Neo4J, Amazon Athena
• DevOps: AWS, Kubernetes, Azure, Jenkins, Docker, Ansible, Terraform, Dynatrace, Helm Charts

Person specification

Working Pattern

This role is available on a full-time basis with the option of compressed hours working.  This role is also suitable for part-time working hours, with a minimum requirement to work 3 days per week due to business requirements. 

Main responsibilities 

• Supporting teams in effectively using platform services, ensuring secure and reliable AI deployments.
• Developing and maintaining automation scripts and hardened base containers for various systems and frameworks.
• Providing hands-on technical support, troubleshooting platform use and configuration issues.
• Advising developers on configuring CI/CD pipelines and best practices for integrating with platform services.
• Contributing to routine monitoring activities, identifying performance improvements and security enhancements.
• Ensuring adherence to organisational standards, maintaining high service quality and reliability.

As our services operate 24/7, you may need to occasionally work outside of office hours, including participating in an on-call rota implementing technical changes, with additional pay for out-of-hours work and on-call.

Essential skills 

You’ll have a strong foundation in DevOps culture, with the following skills or experience:

• Designing and implementing cloud solutions using AWS or Azure, applying best practices for architecture, security, and scalability. (SWDN) 
• Configuring and maintaining automated testing, scanning, and code analysis tools to support CI/CD and improve software quality. (TEST) 
• Monitoring AI applications and responding to incidents using established procedures, ensuring system availability and performance. (ASUP) 
• Developing and maintaining infrastructure-as-code (IaC) scripts to automate build, deployment, and provisioning activities. (PROG) 
• Implementing and optimising CI/CD pipelines to enhance software delivery efficiency and reliability. (SINT) 
• Applying data management best practices for cloud resources, ensuring structured naming, tagging, metadata, backups, and documentation. (DATM)