Location
  • London Wall
Job types
  • Contract
  • Hybrid Working
  • Inside IR35
  • Remote Work
Industry
  • Government
  • Public Sector
  • Technology, Media, & Telecommunication
Salary

£400 - 550 per day

Functions
  • DevOps
  • QA Analyst
  • QA Engineer
  • Software Engineer
Seniority
  • Junior
  • Leadership
  • Mid-level
  • Senior
Technologies
  • Docker
  • Kubernetes
Job reference

118984

AI Code Assurance Engineer (SC / DV Cleared)

Location: London / Manchester / Bristol / Hybrid

Duration: 9 months

We are supporting a high-impact programme within a secure government environment focused on scaling AI and data-driven capability – and are looking for engineers to play a key role in ensuring the quality, reliability and security of AI-generated solutions.

This is a unique opportunity to work at the intersection of AI, engineering and assurance, supporting teams building large-scale applications powered by LLMs and modern data platforms.

The Role

As AI adoption accelerates, a key challenge is ensuring that code and solutions generated through AI tooling are robust, secure and production-ready.

In this role, you will act as part of an engineering assurance layer, responsible for reviewing, validating and refining AI-generated outputs before they are deployed.

You will work closely with DevOps, engineering and AI teams to ensure solutions meet the required standards for performance, scalability and security.

Key Responsibilities

  • Review and validate code generated through AI / LLM tools
  • Identify issues relating to performance, scalability, security and maintainability
  • Refactor and improve AI-generated code where required
  • Support testing and validation of applications prior to production deployment
  • Collaborate with engineering and platform teams to embed best practice
  • Contribute to CI/CD and DevOps processes where appropriate

What We’re Looking For

Strong engineering fundamentals with experience in environments where quality, validation and reliability are critical.

Key skills may include:

AWS, Kubernetes, Docker, Terraform, CI/CD, Infrastructure as Code, DevOps, Cloud Engineering, Software Engineering, Automation Testing

Ideal Backgrounds

  • DevOps / Platform Engineers with a strong quality mindset
  • Automation QA Engineers with coding experience
  • Software Engineers comfortable reviewing and refactoring code
  • Engineers with exposure to AI-assisted development tools (Copilot, LLMs etc.)

Desirable Experience

  • Experience working with AI / Machine Learning environments
  • Exposure to data platforms or large-scale systems
  • Background in secure or government environments

Requirements

  • Active SC or DV Clearance (essential)
  • Ability to work in a fast-paced, evolving delivery environment

Why This Role

This is not a traditional engineering role – it sits at the forefront of how AI is changing software delivery.

You’ll play a critical role in ensuring that AI-generated solutions are fit for purpose, safe and scalable, within a programme that is rapidly growing and shaping future capability.

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