Software Engineer – Cyber & Autonomous Systems Team

Responsibilities

Our talent team is representing a confidential government research organization working at the intersection of AI security and national capability assessment. In this role, you will build the technical infrastructure that enables rigorous evaluation of cutting-edge AI systems in cybersecurity and autonomous operations.

Your core responsibilities include:

• Build evaluation infrastructure: Develop systems and code that make cyber and autonomy evaluations possible at scale
• Develop analysis tooling: Turn raw results into insights, including LLM-as-a-judge and other analysis workflows
• Lead testing exercises: Identify key research questions, run evaluations to collect evidence, analyze results, and communicate findings and recommendations
• Deliver engineering work: Own technical projects and shared components from design through implementation, iteration, and maintenance
• Write production-quality code: Build scalable, robust, maintainable Python software with strong testing, documentation, and observability practices

Example projects you might work on include onboarding cyber ranges on evaluation infrastructure, building image pipelines that convert infrastructure-as-code into deployable assets, developing more secure sandbox services, and preparing data for publication. You'll work alongside engineers and researchers focused on real-world impact, operating with significant autonomy and technical ownership.

What We're Looking For

We're seeking exceptional Software Engineers at all experience levels who want to work at the forefront of AI security research. Successful candidates will meet many of the following criteria:

Essential:

• Experience delivering and maintaining production-quality software
• Deep Python experience, with a clear view of what good Python looks like and broad familiarity with the wider ecosystem and tooling
• Experience designing and evolving software systems or technical architecture
• Strong interest in helping to improve the safety of AI systems
• Ability to take ownership of ambiguous, technically hard problems and follow through
• Clear communication skills and ability to raise engineering standards through feedback and mentoring

Desirable:

• Cybersecurity or adversarial-security expertise
• Experience building, operating, or analyzing AI evaluations
• Experience building, deploying, and operating production systems using DevOps practices
• Familiarity with AI misuse and loss-of-control threat models

The role is based in London with hybrid working arrangements. Strong preference for candidates eligible for UK counter-terrorist check (CTC) clearance, though candidates from any nationality are encouraged to apply.

How We Work With You

When you apply through Get A Job.ai, our recruiting team will conduct an initial screening to understand your background and match you with this opportunity. If there's mutual interest, we will submit your profile to our client for consideration. Please do not contact the client organization directly – all communications should flow through our team to ensure the best candidate experience and maintain confidentiality throughout the process.

The role offers significant benefits including at least 25 days annual leave, 8 public holidays, generous parental leave, employer pension contribution of 28.97% of base salary, hybrid working flexibility, and professional development stipends. You'll have access to pre-release frontier AI models, ample compute resources, and opportunities to publish and collaborate externally.

Pay

Compensation is benchmarked to role scope and experience level. Most offers for this position land between £65,000 and £145,000 annually, structured as base salary plus technical allowance. The full range includes:

• Level 3: £65,000–£75,000
• Level 4: £85,000–£95,000
• Level 5: £105,000–£115,000
• Level 6: £125,000–£135,000
• Level 7: £145,000

An additional 28.97% employer pension contribution is paid on the base salary component. Pay information provided reflects the client's compensation structure; placement through Get A Job.ai follows standard recruiting fee arrangements.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices and encourages applications from candidates of all backgrounds.