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- Tasks: Support AI deployments and streamline automation processes in a dynamic environment.
- Company: Join the Home Office's innovative Automation & Innovation team.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Enjoy a collaborative culture with excellent career advancement opportunities.
- Why this job: Make a real impact by enhancing public services through cutting-edge AI technology.
- Qualifications: Experience in DevOps, cloud solutions, and CI/CD best practices required.
The predicted salary is between 46062 - 51100 £ per year.
National: £46,062 London: £50,182 plus up to £11,338 additional allowance
Published on 2 April 2026
Deadline 12 April 2026
Location: Croydon, Manchester, Sheffield, Glasgow
About the job
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.
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: Data: PostgreSQL, Microsoft SQL Server, MongoDB, Apache Kafka, Neo4J, Amazon Athena.
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.
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.
- Configuring and maintaining automated testing, scanning, and code analysis tools to support CI/CD and improve software quality.
- Monitoring AI applications and responding to incidents using established procedures, ensuring system availability and performance.
- Developing and maintaining infrastructure‑as‑code (IaC) scripts to automate build, deployment, and provisioning activities.
- Implementing and optimising CI/CD pipelines to enhance software delivery efficiency and reliability.
- Applying data management best practices for cloud resources, ensuring structured naming, tagging, metadata, backups, and documentation.
DevOps (MLOps) - Home Office - SEO in Croydon employer: Manchester Digital
Contact Detail:
Manchester Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps (MLOps) - Home Office - SEO in Croydon
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to DevOps and MLOps. It’s a great way to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common DevOps scenarios. Think about how you’d handle CI/CD challenges or troubleshoot issues. The more you prepare, the more confident you’ll feel!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us. Plus, it shows you’re genuinely interested in being part of the team.
We think you need these skills to ace DevOps (MLOps) - Home Office - SEO in Croydon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the DevOps (MLOps) role. Highlight your experience with CI/CD pipelines, cloud solutions, and any relevant automation projects. We want to see how your skills align with what we do!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and automation. Share specific examples of how you've contributed to similar projects in the past. Let us know why you’re the perfect fit for our team!
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Mention your experience with tools like AWS, Azure, and any programming languages you’re proficient in. We love seeing candidates who are eager to learn and grow with us!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy to do!
How to prepare for a job interview at Manchester Digital
✨Know Your Tech Stack
Familiarise yourself with the tools and technologies mentioned in the job description, like AWS, Azure, and CI/CD practices. Be ready to discuss your experience with these platforms and how you've used them to improve service reliability and performance.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in previous roles, especially related to automation and troubleshooting. Highlight specific instances where you improved operational efficiency or resolved issues in a production environment.
✨Understand the Company’s Mission
Research the Home Office's Automation & Innovation function and its goals. Be prepared to discuss how your skills align with their mission to deliver secure, value-driven solutions and how you can contribute to their AI as a Service platform.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and future developments within the AI as a Service team. This shows your genuine interest in the role and helps you assess if it's the right fit for you.