Software Engineering Manager - Platform
About the AI Security Institute
The AI Security Institute is the largest team in a government dedicated to understanding AI capabilities and risks in the world.
Our mission is to equip governments with an empirical understanding of the safety of advanced AI systems. We conduct research to understand the capabilities and impacts of advanced AI and develop and test risk mitigations. We focus on risks with security implications, including the potential of AI to assist with the development of chemical and biological weapons, how it can be used to carry out cyber-attacks, enable crimes such as fraud, and the possibility of loss of control.
The risks from AI are not sci-fi, they are urgent. By combining the agility of a tech start-up with the expertise and mission-driven focus of government, we’re building a unique and innovative organisation to prevent AI’s harms from impeding its potential.
Role Description
The AI Security Institute's Research Unit is looking for motivated and talented Engineering Managers to join AISI's Platform group. We are looking for exceptional candidates to lead small teams on a range of critical research-oriented software and infrastructure.
In this role, you’ll work with a talented and highly-motivated team on cutting-edge technologies, helping solve research problems with real-world impact. You'll also regularly interact with world-famous researchers and other incredible staff (including alumni from Anthropic, DeepMind, OpenAI, Google, Apple, and professors from Oxford and Cambridge).
About AISI Platform
AISI Platform comprises several teams building tools and infrastructure used across all of our research work. This includes projects like Inspect (our open-source evaluation framework), systems for running evaluations at scale, and hosting frontier open-weights models for evaluations or human studies.
Working on one of AISI's Platform teams, you might:
- Add a feature to one of our “sandbox plugins” for Inspect, supporting advanced agentic evals with safe mechanisms to let models write and execute arbitrary code
- Implement support for a new class of open-weights model on our model hosting platform
- Support a research team with designing custom infrastructure for a new research project
- Collaborate with the open-source community on a feature in Inspect or Inspect's plugin ecosystem
- Assist with an evaluation testing exercise of a frontier AI model, debugging issues that appear in Inspect from API changes in the lab's latest SDK
As an engineering manager, you will also:
- Support engineers at varying levels with career growth and coaching
- Work with your team and other leads to develop roadmaps and priorities
- Collaborate with managers and leads across AISI to come up with technologies to support new kinds of research
- Look after your team's wellbeing and pyschological safety
Person Specification
You may be a good fit if you have some of the following skills, experience and attitudes:
- Leading a small developer team, either as manager or tech lead.
- Line management of software engineers, ranging from junior-level to staff.
- Designing, shipping, and maintaining complex tech products.
- Improving technical standards across a team, through mentoring and feedback.
- Strong written and verbal communication skills.
- Experience working with a world-class research team comprised of both scientists and engineers (e.g. in a top-3 lab).
- Python experience, including understanding the intricacies of the language, the good vs. bad Pythonic ways of doing things and much of the wider ecosystem/tooling.
- Experience building and maintaining systems on AWS or other cloud providers using infrastructure-as-code.
Motivated candidates are encouraged to apply even if you don't meet all the above criteria.
Required Experience
We select based on skills and experience regarding the following areas:
- Written communication
- Verbal communication
- Teamwork
- Writing production quality code
- Writing code efficiently
- Python
- Interpersonal skills
- Tackling challenging problems
Desired Experience
We additionally may factor in experience with particular areas like:
- Expertise in Cloud Infrastructure or Dev Ops (AWS, Azure, Kubernetes, Terraform, CDK, Docker, etc.)
- Cybersecurity expertise
- ML Ops (vLLM, agent frameworks, fine-tuning, RAG systems, etc.)
Salary & Benefits
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 plus additional benefits as detailed on this page.
- Level 3 - Total Package £65,000 - £75,000 inclusive of a base salary £35,720 plus additional technical talent allowance of between £29,280 - £39,280
- Level 4 - Total Package £85,000 - £95,000 inclusive of a base salary £42,495 plus additional technical talent allowance of between £42,505 - £52,505
- Level 5 - Total Package £105,000 - £115,000 inclusive of a base salary £55,805 plus additional technical talent allowance of between £49,195 - £59,195
- Level 6 - Total Package £125,000 - £135,000 inclusive of a base salary £68,770 plus additional technical talent allowance of between £56,230 - £66,230
- Level 7 - Total Package £145,000 inclusive of a base salary £68,770 plus additional technical talent allowance of £76,230
There are a range of pension options available which can be found through the Civil Service website.
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.
Selection Process
In accordance with the Civil Service Commission rules, the following list contains all selection criteria for the interview process.
Additional Information
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.
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. See our vetting charter here.
Nationality requirements
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
Diversity and Inclusion
Create a Job Alert
Interested in building your career at AI Security Institute? Get future opportunities sent straight to your email.
Apply for this job
*
indicates a required field