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Principal Machine Learning Developer

Job details
Posting date: 27 May 2025
Salary: £73,900 to £85,690 per year
Additional salary information: London: £77,900 - £85,690 National: £73,900 - £81,290 You may be eligible for an additional non-pensionable allowance, pending a Capability and Skills Assessment, with a value of up to £21,700. New entrants to the Civil Service will start their role on th
Hours: Full time
Closing date: 08 June 2025
Location: Manchester
Company: Government Recruitment Service
Job type: Permanent
Job reference: 407376/2

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Summary

This role sits in the Shared Applications Service department, with over 650 engineers. This is the engineering capability, developing in all areas including policing, Border Force, and migration. It includes the Automation and Innovation portfolio, which this role is focused on.

The Home Office Automation and Innovation portfolio delivers the government's commitment to "set the standard for excellence in the AI age" - harnessing cutting-edge technology to revolutionise public service delivery. As outlined in the Government's Generative AI Framework, we're in "a period of rapid and exciting technological changes, which offers huge potential", and we're turning that potential into reality.

Our work spans Home Office mission-critical operations, such as transforming Border Security and immigration processes, to revolutionising asylum case management and enhancing Counter-Terrorism capabilities. Imagine developing technology that helps reunite families, creates safer communities, protects vulnerable people, and ensures smoother journeys for the millions travelling to and from the UK.

Each area presents unique challenges where AI and automation can deliver substantial efficiency savings and improve outcomes for the public and colleagues.

The Principal Developer will be the engineering lead for the new AI-as-a-Service function within Automation and Innovation.

You will lead in many aspects including the deployment, monitoring and iterating of machine learning solutions. You will lead your team to conduct explorative work in Agentic AI.

You will take part in planning with senior stakeholders to make sure that technical designs match strategy. In this you will be expected to help ensure that all engineers, architects, and other professions are working together. You will also identify, test and advocate for new tools or approaches.

You will support the assurance of our solutions and help resolve any discrepancy between approach and organisational strategy.

As a Principal Developer, you will be expected to mentor other senior engineers in technical tasks, as well as support recruitment and assessment activities.

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.
  • DevOps/Platforms: Azure, AWS, Kubernetes, Azure DevOps, Jenkins, Docker, Ansible, Terraform.
  • AI: Azure ML Studio, Python, Github Copilot, OpenAI, Anthropic, Google.

What you will do:

Your main day to day responsibilities will be:

  • Assessing use cases for LLMs/ML and leading on selection of appropriate models.
  • Leading on the design and build of central infrastructure and microservices for AI at scale across multiple cloud platforms.
  • Working with architects/security and other stakeholders evaluating and advising on design choices and ensuring that they are high quality and balance technical and business considerations.
  • Defining and documenting best practices and establishing metrics of model success.
  • Being the technical authority in your area, providing arbitration for complex technical decisions.
  • Carrying out challenging implementation tasks, whilst maintaining strong stakeholder engagement and keeping the relevant documentation up to date.
  • Pioneering new software architectural and build/integration approaches, ensuring they adhere to organisational strategy.
  • Leadership of your AI-as-a-Service engineering team, including line management and professional development, ensuring you and your team are trained in the latest tools / tech in the AI and ML space.

Like many organisations we need to maintain our services 24/7, therefore, on occasions there may be a requirement to work out of hours, for which you will be paid an additional allowance.

Proud member of the Disability Confident employer scheme

Disability Confident
A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people. For more details please go to Disability Confident.

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