⏰ Application Deadline: Sunday 8th June June at 23:55pm ⏰

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.

👀 What will you be doing? 👀

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.

🚀 Your skills for this role 🚀

You’ll have a demonstrable passion for automation and software development, with the following skills or proven experience in:

• Designing large or complex AI components for cloud platforms (such as Azure, AWS, GCP) and contributing to organisational AI design/architecture standards. (Lead essential criteria)
• Leading on data strategy for AI, including data preparation and maintaining data availability to ensure continuous data flow, scalability, security and accessibility.
• Developing complex applications which make use of LLMs and Machine Learning models. Scripting/programming in a relevant language such as Python, including consuming APIs to make use of foundational models.
• Implementing scalable and reliable automated tests and frameworks for AI solutions as well as testing performance of models (bespoke and foundational).
• Leading in the use of Git and source control (such as Github, Gitlab or Azure DevOps) to develop CI/CD pipelines to deploy ML Models and other AI microservices.
• Specifying and ensuring good use of automation, procedures and tooling to monitor (and alert on) model performance, metric and health, as well as data drift. Specifying processes to address any anomalies or drifts.

🙌 Why join us? 🙌

• Exceptional pension: Employer contribution of 28.97%.
• Generous leave: 25 days annual leave (rising to 30 with service), 8 public holidays, and 1 day for the King’s Birthday.
• Flexible working: Options include full-time, part-time, compressed hours, job sharing, and a hybrid model (minimum 60% on-site).
• Learning and development: Access to training, technical accreditations, and funded qualifications (subject to approval).
• Inclusion and recognition: A culture that champions diversity, enhanced parental leave schemes, annual bonuses, and recognition awards.

Please note: This role requires SC clearance. To meet national security vetting requirements, you must typically have been resident in the UK for at least five years.

Ready to lead and innovate? Click “Apply” to access the full job description and salary details.