Job Type: Contract and Perm opportunities.
On behalf of our client, a dedicated public sector organisation, we are seeking an AI Systems Engineer to build artificial intelligence native decision systems for government, defence, and public health. You will turn quantitative models into secure, compliance ready products and packaged desktop applications for scaled public sector delivery. This is a shipping first role across conventional systems and agent assisted platforms.
What You Will Do & Own
- Turn quantitative prototypes into reusable tools, services, and cloud hosted or local desktop applications that move from testing to scaled agency rollout.
- Build strict public sector hardening: authentication, role based access control (RBAC), observability, security, and cost controls.
- Embed evaluation and regression testing into the release cycle to measure model logic and agent behaviour.
- Own data flows, APIs, model serving, front end applications, and continuous integration and continuous delivery pipelines.
- Own the agentic harness layer, evaluation frameworks, control plane behaviour, and tool integration.
Requirements
- Minimum 3 years of hands on experience in backend services, APIs, full stack delivery, data pipelines, model serving, or agentic orchestration.
- Solid engineering judgement for enterprise hardening, including auth, RBAC, security, and regression testing for machine learning workflows.
- Minimum 3 years of stakeholder facing delivery, moving workflow systems past the proof of concept stage.
- Bachelor degree in computer science, engineering, mathematics, physics, economics, or related field.
- Must be a British Citizen.
Preferred Qualifications
- Experience with public sector, government, civic tech, or defence workflows.
- Experience with tool using systems, retrieval pipelines, or agent orchestration.
- Background building expert facing interfaces or decision support systems.
- Familiarity packaging desktop applications for Windows heavy environments.