At a Glance
- Tasks: Design and build reliable systems for cutting-edge AI research projects.
- Company: Join the world's leading team on advanced AI risks at the AI Security Institute.
- Benefits: Competitive salary, generous leave, hybrid working, and professional development opportunities.
- Other info: Dynamic, supportive team with excellent career growth and learning resources.
- Why this job: Make a real impact on AI governance while collaborating with top experts.
- Qualifications: Experience in Python, cloud environments, and a passion for AI safety.
The predicted salary is between 65000 - 145000 £ per year.
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
- Design and build reliable systems — architect and deliver core platform components that enable 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.
- Own and deliver significant engineering work — take responsibility for substantial technical projects and shared components, driving them from design through implementation, iteration, and maintenance.
- Write high-quality production code — build scalable, robust, and maintainable software, primarily in Python, with strong engineering discipline around testing, documentation, and observability.
- Contribute to engineering standards and practices — help improve code quality, development workflows, and shared engineering approaches within a growing engineering team embedded in a research-heavy environment.
- Collaborate across AISI — work with our Core Technology and engineering teams to share tooling, align on infrastructure, and avoid duplication.
- Support technical direction — contribute to architectural decisions, identify opportunities to strengthen shared infrastructure, and help make pragmatic technical trade-offs.
- Mentor others through technical leadership — support other engineers through collaboration, code review, and knowledge sharing, without formal line-management responsibility.
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 delivering substantial technical work.
- Strong infrastructure and platform skills — experience with cloud environments (AWS), container orchestration (Kubernetes), and job scheduling (Slurm or similar).
- Experience owning technical projects or major systems as a senior individual contributor. You do not need formal management experience for this role.
- 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.
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.
- 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.
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. 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.
Senior Software Engineer, Chem-Bio in London employer: AI Security Institute
The AI Security Institute is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among talented professionals. Located in a vibrant research environment, employees benefit from continuous growth opportunities, competitive compensation, and the chance to contribute to cutting-edge projects in AI security. Join us to be part of a mission-driven team that values your expertise and encourages professional development.
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We think this is how you could land Senior Software Engineer, Chem-Bio in London
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We think you need these skills to ace Senior Software Engineer, Chem-Bio in London
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Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at AI Security Institute.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at AI Security Institute and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at AI Security Institute
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If AI Security Institute uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.