Scientist: Research & Development in London

About The AI Security Institute

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 research the prevalence and severity of high-impact societal risks caused by frontier AI deployment, and develop mitigations to address these risks. Core research topics include the use of AI for assisting with criminal activities, preventing critical overreliance on insufficiently robust systems, undermining trust in information, jeopardising psychological wellbeing, or for malicious social engineering.

We are interested in both immediate and medium-term risks. One emerging risk area we are concerned with is the use of open weight models to drive risks like child sexual abuse material (CSAM) and non-consensual intimate imagery (NCII) generation. AISI has previously published research on methods for making open weight models more robust against malicious tampering.

This is a research scientist position focused on developing technical safeguards against tampering with open weight models. This work belongs inside UK government because effective mitigation requires cross-agency coordination (Home Office, DSIT, Ofcom), engagement with regulated platforms under the Online Safety Act, and credible evidence to inform policy trade-offs across innovation, competition, and child protection.

This role will synthesise threat intelligence on how AI generated CSAM and NCII are developed, create scalable screening methodologies that platforms can realistically run, and publish best-practice protocols with NGOs to raise the floor across the ecosystem. You will work closely with engineers and domain experts across AISI, as well as external research collaborators at Home Office, Internet Watch Foundation, and Ofcom. Researchers on this team have substantial freedom to shape independent research agendas, lead collaborations, and initiate projects that push the frontier of what evaluations can reveal.

Example Projects

• Publish a Problem Book framing the technical challenges and research directions for preventing CSAM/NCII misuse across model and hosting layers.
• Design and pilot scalable, automated screening methodologies platforms can run pre-publication on uploads (topic-general prototypes that avoid exposure to illegal content).

You will report into a senior Research Scientist overseeing our team's misuse workstream. We're flexible on the exact profile and expect successful candidates will meet many (but not necessarily all) of the criteria below. Depending on experience, we will consider candidates at either the RS or Senior RS level.

• At least 3+ years of relevant experience in applied ML, trust & safety tooling, content moderation, security engineering, or adjacent technical fields; we also welcome strong earlier-career applicants (2–3 years) with demonstrated impact in open-source technical work.
• Deep familiarity with open-weight image/video models (diffusion, LoRA), model hosting ecosystems (e.g., Hugging Face, GitHub), and the limitations of pre-deployment safeguards.
• Able to design automated, scalable evaluations and detection methods that generalise and avoid reliance on illegal content.
• Strong Python and ML stack (PyTorch/JAX), data engineering, and systems skills; experience building pipelines and tooling that run at platform scale.
• Excellent writing and communication for technical and policy audiences; Commit to work from our London office in Whitehall for parts of the week, with flexibility for remote work.
• Familiarity with Online Safety Act requirements and platform trust & safety operations; Open-source contributions (tools, libraries) and evidence of leading cross-sector technical projects.

We're looking for full-time commitment but are open to part-time arrangements. Opportunity to shape the first & best-resourced public-interest research team focused on AI security. Extensive operational support so you can focus on research and ship quickly. Work with experts across national security, policy, AI research, and adjacent sciences.

Benefits include:

• 5 development days per year, an annual L&D budget, and travel support for conferences and external collaborations.
• Freedom to pursue research bets without product pressure.
• Modern central London office (cafes, food court, gym) or option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford, or Bristol.
• Hybrid working with opportunities for occasional remote work abroad.
• At least 25 days' annual leave, 8 public holidays, and extra team-wide breaks.
• Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time).
• 27% government-funded pension contribution on top of salary, work from home equipment and dental insurance.

Most offers land between £65,000 and £145,000 (base plus technical allowance), with 27% employer pension and other benefits on top.

Successful candidates must undergo a criminal record check and get baseline personnel security standard (BPSS) clearance before they can be appointed. The Civil Service embraces diversity and promotes equal opportunities.

The Civil Service is committed to attract, retain and invest in talent wherever it is found.