At a Glance
- Tasks: Lead a dynamic engineering team to build impactful AI systems for government and research.
- Company: Join the world's leading AI Security Institute at the forefront of AI governance.
- Benefits: Enjoy competitive salary, generous leave, and professional development opportunities.
- Other info: Flexible hybrid working, modern office perks, and a supportive, mission-driven culture.
- Why this job: Make a real difference in AI safety while working with top experts and policymakers.
- Qualifications: Experience in Python, cloud platforms, and leading engineering teams is essential.
The predicted salary is between 105000 - 115000 £ per year.
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’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
- 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.
- 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).
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.
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.
The full range of salaries are available below:
- Level 3: £65,000–£75,000 (Base £37,150 + Technical Allowance £27,850–£37,850)
- Level 4: £85,000–£95,000 (Base £44,195 + Technical Allowance £40,805–£50,805)
- Level 5: £105,000–£115,000 (Base £58,040 + Technical Allowance £46,960–£56,960)
- Level 6: £125,000–£135,000 (Base £71,525 + Technical Allowance £53,475–£63,475)
- Level 7: £145,000 (Base £71,525 + Technical Allowance £73,475)
Additional Information
Use of AI in Applications: 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.
Security: Successful candidates must undergo a criminal record check and get baseline personnel security standard (BPSS) clearance before they can be appointed. Additionally, there is a strong preference for eligibility for counter-terrorist check (CTC) clearance. Some roles may require higher levels of clearance, and we will state this by exception in the job advertisement.
Nationality requirements: We may be able to offer roles to applicants from any nationality or background. As such we encourage you to apply even if you do not meet the standard nationality requirements.
Working for the Civil Service: The Civil Service Code sets out the standards of behaviour expected of civil servants. The Civil Service embraces diversity and promotes equal opportunities.
Diversity and Inclusion: The Civil Service is committed to attract, retain and invest in talent wherever it is found.
Senior Engineering Lead, Chem-Bio in London employer: the AI Security Institute
Contact Detail:
the AI Security Institute Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineering Lead, Chem-Bio in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space, especially those connected to AISI. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure it’s easy to find. Create a personal website or GitHub profile that highlights your best work, especially anything related to Python, cloud environments, or AI/ML.
✨Tip Number 3
Prepare for interviews by diving deep into AISI’s mission and recent projects. Familiarise yourself with their work in Chem-Bio and think about how your experience aligns with their goals. Tailor your responses to show you’re not just a fit technically, but also culturally!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us. So, hit that apply button and let’s get the conversation started!
We think you need these skills to ace Senior Engineering Lead, Chem-Bio in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight how your skills and experiences align with the role. We want to see how you can contribute to our Chem-Bio team, so don’t hold back on showcasing relevant projects or achievements!
Showcase Your Technical Skills: Since this role is all about engineering, be sure to emphasise your experience with Python, cloud environments, and any relevant tools. We’re looking for someone who can hit the ground running, so let us know what you’ve built and how it’s made an impact.
Communicate Clearly: Strong communication is key in our multidisciplinary team. When writing your application, keep it clear and concise. We want to understand your thought process and how you approach problem-solving, so don’t shy away from sharing your insights!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details you need about the role and our team there!
How to prepare for a job interview at the AI Security Institute
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical skills listed in the job description, especially Python, AWS, and Kubernetes. Brush up on your experience with LLM-based systems and be ready to discuss how you've applied these technologies in past projects.
✨Showcase Your Leadership Skills
Since this role involves leading a small team, prepare examples of how you've successfully managed or mentored engineers before. Think about specific challenges you faced and how you helped your team overcome them.
✨Understand the Research Landscape
Familiarise yourself with the current trends in AI and biosecurity. Be prepared to discuss how engineering solutions can support research needs and contribute to policy-making. This shows you’re not just a techie but also understand the bigger picture.
✨Communicate Clearly and Confidently
Strong communication is key in a multidisciplinary team. Practice explaining complex technical concepts in simple terms. During the interview, engage with your interviewers by asking questions and showing genuine interest in their work.