The AI Security Institute is the worlds largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. Were in the heart of the UK government with direct lines to No. 10 (the Prime Ministers office) and we work with frontier developers and governments globally.
Were 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.
The deadline for applying to this role is Sunday8March 2026 end of day anywhere on Earth.
Team Description
As AI systems grow more capable and autonomous understanding how humans could lose the ability to oversee correct or shut down these systems becomes critical as does identifying what we can do to prevent it. Risk models for AI agents (for example loss of control risk models) remain far less developed than those in comparable domains like cybersecurity and chem-bio and practical mitigations remain underexplored (especially beyond traditionalalignmentandcontrolwork).
AISI is building a new team to close this gap. The new Agentic AI Risk Modelling and Mitigations team will develop rigorous models of how agentic AI could cause harm identifying practical mitigations with a focus on measures the UK government are well-placed to implement. We will draw on expertise only available within government especially the national security community to develop risk models and mitigations far more developed than those in academia or industry.
The hiring manager for this role is Benjamin Hilton; the team is advised byGeoffrey Irving.Youllcollaborate closely with researchers across AISIs red teams evaluation teams and alignment team as well as with government stakeholders.
Relatedpreviouspublications from AISI includetheInternational AI Safety Report theFrontier AI Trends Report as well as:adapting vulnerability disclosure for AI safeguardssafety cases for cyber misuse risk from frontier AI asketch of an AI control safety case analignment safety case sketch based on debate andevaluations of autonomous replication capabilities.
Role Description
Your work willdraw onempirical evidence from AISIs evaluations alongsidethe broadercybersecurity and MLliteratureto develop detailed and precise threat models and to reason carefully about complex and uncertain scenarios and communicate findings clearly to both technical researchers and policy decision-makers. Some projects may also involve hands-on MLor cybersecurity work in collaboration with government partners to develop mitigations.
We are open to hires at junior seniorstaff and principal research scientist may also make an offer to particularly promising candidates with management experience to lead the workstream in a management role.
Representative projects you might work on
Whatwerelooking for
In accordance withtheCivil Service Commissionrules the following listcontainsall selection criteria for the interview process.
Required experience
The experiences listed below should be interpreted as examples of theexpertisewerelooking for as opposed to a list of everything we expect to find in one applicant:
You may be a good fit if youhave:
Strong candidates may also have:
Security clearance
Wehave a preference forcandidates eligible for UKgovernment SC clearancewhich typically requires residence in the may alsobe requiredto undergo Developed Vetting (DV). DV typicallyrequiresa longer period of UK residency (around5years).
Other core requirements
What We Offer
Impact you couldnt have anywhere else
Resources & access
Growth & autonomy
Life & family
*These benefits apply to direct employees. Benefits may differ for individuals joining through other employment arrangements such as secondments.
Salary
We are hiring individuals at all ranges of seniority and experience within this research unit and this advert allows you to apply for any of the roles within this range. Your dedicated talent partner will work with you as you move through our assessment process to explain our internal benchmarking process. The full range of salaries are available below salaries comprise of a base salary technical allowance plusadditional benefitsas detailed on this page.
Artificial Intelligence can be a useful tool to support your application however all examples and statements provided must be truthful factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others or generated by artificial intelligence as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see ourcandidate guidancefor more information on appropriate and inappropriate use.
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 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 this way the policy is ensured and the repetition of internal fraud is prevented. For more information please see -Internal Fraud Register.
We may be able to offer roles to applicant from any nationality or background. As such we encourage you to apply even if you do not meet the standard nationality requirements (opens in a new window).
Required Experience:
Unclear Seniority