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.
About the Team
AISI's Chem Bio (CB) team conducts technical research to assess evolving AI capabilities related to science R&D and CB misuse, and the effectiveness of technical safeguards that might mitigate risks arising from those capabilities.
The goal of our research is to inform critical decisions on security, opportunities, policy, and risk mitigation made by governments and AI developers.
We're a close-knit, unusually interdisciplinary team—made up of machine learning researchers and engineers, software engineers, virologists and bacteriologists, behavioural research scientists, biosecurity experts, long-standing CB policy specialists and talented generalists—who work closely with other technical and policy teams across government.
Role Responsibilities
We are building a dedicated engineering function within the CB team — a small team that owns the shared platform, tooling, and infrastructure that our research projects depend on. This role leads that function. The successful candidate will:
Lead CB's engineering team — set technical direction, define engineering standards, and own the roadmap for shared infrastructure, tools, and components used across CB's research projects.
Line-manage a small number of engineers — provide regular support, feedback, and development guidance to direct reports (expect 1–3 reports as the team grows).
Design and build reliable systems — architect and deliver the core platform that enables researchers to run experiments and ship results quickly, including LLM-based agent systems, evaluation frameworks, and supporting infrastructure.
Work closely with researchers — translate varied research needs across general agents, science agents, chemical and biological models and other CB workstreams into well-engineered, maintainable systems.
Hire and grow the team — run hiring pipelines for future engineering roles, contribute to interview design and candidate assessment, and help shape what great engineering talent looks like at AISI.
Shape engineering culture— establish ways of working, code quality standards, and development practices for a growing engineering team embedded in a research-heavy environment.
Represent CB engineering across AISI — coordinate with Core Technology and other engineering teams to share tooling, align on infrastructure, and avoid duplication.
Role Requirements
We are looking for the following skills, experience and attitudes, but a successful candidate will not necessarily need to meet all these criteria. We can be flexible in shaping the role and salary to your background, expertise, and level of experience.
Significant experience writing production-level Python code that is scalable, robust, and easy to maintain, with a track record of leading technical work in a team.
Strong infrastructure and platform skills — experience with cloud environments (AWS), container orchestration (Kubernetes), and job scheduling (Slurm or similar).
Demonstrated experience leading or managing engineers — whether through formal line management, tech-leading a team, or running hiring pipelines. You don't need to have done all three, but you should be comfortable with at least one and keen to grow into the others.
Familiarity with the AI/ML ecosystem: OpenAI-compatible APIs, PyTorch, and the tooling around LLM-based systems.
Ability to work across multiple teams, understanding varied research needs and delivering reliable engineering solutions.
A sense of mission, urgency, and responsibility for success: Demonstrated ability to solve challenging problems, implement solutions efficiently and acquire any missing knowledge necessary to get the job done. Motivated to build software with direct policy impact.
Strong communication skills, with the ability to work effectively in a dynamic, multidisciplinary team environment.
Strong candidates may also have:
Experience working in a research environment — you don't need to be a researcher, but you should be comfortable working alongside them and translating ambiguous research requirements into engineering plans.
Familiarity with computational biology tools, workflows, or datasets.
Experience building or maintaining internal developer platforms, shared libraries, or CI/CD systems for technical teams.
Please note that this is a reserved post. We can only consider applications from UK nationals (including dual nationals who hold British citizenship). Appointment is conditional on successfully completing UK Government SC clearance. Prior clearance is not required—we will sponsor and support you. You should normally have been resident in the UK for the past 5 years. You may also be required to undergo Developed Vetting (DV). DV typically requires a longer period of UK residency (around 10 years). Employment is conditional on obtaining and maintaining the required clearance(s). More detail on clearance eligibility can be found on the UK Government website: National security vetting: clearance levels - GOV.UK
Other core requirements
You should be able to spend at least 9 days per fortnight working with us.
You should be willing to work from our office in London (Whitehall) at least 3 days/week.
You should be UK-based.
What We Offer
Impact you couldn't have anywhere else
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.
Resources & access
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.
Growth & autonomy
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.
Life & family*
Modern central London office (cafes, food court, gym), 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.
Salary
Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 made up of a base salary plus a technical allowance (take-home salary = base + technical allowance). An additional 28.97% employer pension contribution is paid on the base salary.
This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures.
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 our candidate guidance for more information on appropriate and inappropriate use.
Internal Fraud Database
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.
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).
Working for the Civil Service
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
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