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The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We’re in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally.
We’re here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action.
AI capabilities in cybersecurity and autonomy are advancing faster than at any point in history. Frontier models can now work through multi-step network intrusions, discover and exploit software vulnerabilities, and carry out long-horizon technical tasks with increasing independence. These are extraordinary tools for scientific and economic progress, but also have the potential for serious harm if misused or deployed without adequate oversight, as seen in the recent cybersecurity incidents.
Our Cyber & Autonomous Systems Team evaluates the capability of both frontier and open-weight AI models in cybersecurity, autonomy and AI R&D, ensuring the UK government and its partners have an accurate view of risks and capabilities. We use realistic cyber ranges and a large CTF suite for our evaluations, run pre-deployment testing of frontier models, and collaborate with our partners across UK government, frontier labs, and NCSC.
We are looking for exceptional Software Engineers at all experience levels, from junior through to senior or staff, who want to work at the forefront of frontier AI security
In this role, you’ll work with cutting-edge technologies on research problems with real-world impact, and receive mentorship and coaching from your manager and the technical leads on your team.
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Your day-to-day work might include building state-of-the-art evaluations (e.g., cyber ranges ), running pre-deployment testing exercises (e.g., Claude Mythos Preview ), validating novel model behaviours (e.g., models cheating in evaluations ), and answering timely research questions (e.g., the capabilities of open-weight models ). You would be working alongside engineers and researchers who care deeply about the impact of their work, take pride in their craft, and have a high level of autonomy.
If that sounds exciting to you, we'd love for you to apply!
Onboard a cyber range: deploy a new cyber range on AISI’s evaluation infrastructure (for example, Proxmox) and verify it meets the internal Evaluation Quality Standard.
Build an image pipeline: create a pipeline that converts infrastructure-as-code into AMIs ready for evaluation.
Develop a more secure sandbox service: partner with Core Technology to improve AISI’s sandbox platform, representing CAST to ensure the service meets its evaluation requirements.
Prepare data for publication: collect, validate, and organise evaluation data to support publication of research findings.
Your work will directly shape the UK government's understanding of AI cyber capabilities, inform safety standards for frontier AI systems, and contribute to the global effort to develop rigorous evaluation methodologies. The evaluations you build will help determine how advanced AI systems are assessed before deployment.
We're flexible on the exact profile and expect successful candidates will meet many (but not necessarily all) of the criteria below:
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
Designing and evolving software systems or technical architecture
Strong interest in helping to improve the safety of AI systems
Take ownership of ambiguous, technically hard problems and follow through
Communicate clearly and raise engineering standards through feedback and mentoring
Cybersecurity or adversarial-security expertise
Building, operating, or analysing AI evaluations
Experience building, deploying, and operating production systems using DevOps practices
Familiarity with AI misuse and loss-of-control threat models
Motivated candidates are encouraged to apply even if you don't meet all the above criteria.
Incredibly talented, mission-driven and supportive colleagues.
Direct influence on how frontier AI is governed and deployed globally.
Work with the Prime Minister’s AI Advisor and leading AI companies.
Opportunity to shape the first & best-resourced public-interest research team focused on AI security.
Pre-release access to multiple frontier models and ample compute.
Extensive operational support so you can focus on research and ship quickly.
Work with experts across national security, policy, AI research and adjacent sciences.
If you’re talented and driven, you’ll own important problems early.
5 days off and annual stipends for learning and development, and funding for conferences and external collaborations.
Freedom to pursue research bets without product pressure.
Opportunities to publish and collaborate externally.
Modern central London office, or where applicable, option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford or Bristol.
Hybrid working, flexibility for occasional remote work abroad and stipends for work-from-home equipment.
At least 25 days’ annual leave, 8 public holidays, extra team-wide breaks and 3 days off for volunteering.
Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time).
On top of your salary, we contribute 28.97% of your base salary to your pension.
Discounts and benefits for cycling to work, donations and retail/gyms.
*These benefits apply to direct employees. Benefits may differ for individuals joining through other employment arrangements such as secondments.
The Internal Fraud function of the Fraud, Error, Debt and Grants Function at the Cabinet Office processes details of civil servants who have been dismissed for committing internal fraud, or who would have been dismissed had they not resigned. The Cabinet Office receives the details from participating government organisations of civil servants who have been dismissed, or who would have been dismissed had they not resigned, for internal fraud. In instances such as this, civil servants are then banned for 5 years from further employment in the civil service. The Cabinet Office then processes this data and discloses a limited dataset back to DLUHC as a participating government organisations. DLUHC then carry out the pre employment checks so as to detect instances where known fraudsters are attempting to reapply for roles in the civil service. In this way, the policy is ensured and the repetition of internal fraud is prevented. For more information please see - Internal Fraud Register.
UK government research organisation evaluating advanced AI risks and developing mitigations for governments.
Visit company websiteJobs and hiring trendsGBP 65000-145000 yearly / year
Full-time
Entry
Hybrid
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