Software Engineer - Core Technology in London

Software Engineer - Core Technology in London

London Full-Time 65000 - 145000 £ / year (est.) No working from home possible
AI Security Institute

At a Glance

  • Tasks: Join a dynamic team to develop cutting-edge software for AI security research.
  • Company: Be part of the world's leading AI Security Institute, shaping global AI governance.
  • Benefits: Enjoy competitive salary, generous leave, and professional development opportunities.
  • Other info: Flexible working options and a vibrant office environment in central London.
  • Why this job: Make a real-world impact while collaborating with top researchers and tech experts.
  • Qualifications: Experience in Python and cloud infrastructure is a plus; all skill levels welcome.

The predicted salary is between 65000 - 145000 £ 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.

Role Description

The AI Security Institute's Research Unit is looking for motivated and talented Software Engineers to join AISI's Core Technology Team. We are looking for exceptional candidates at all experience levels, from junior through to senior or staff, to work in small teams on a range of critical research-oriented software and infrastructure. In this role, you’ll work with cutting-edge technologies on research problems with real-world impact, and receive mentorship and coaching from your manager and the technical leads on your team. 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 our Core Technology Team

AISI Core Technology Team 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. As a software engineer on one of these 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

Person Specification

You may be a good fit if you have some of the following skills, experience and attitudes:

  • Writing production quality code at fast pace.
  • 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:

  • Writing production quality code
  • Writing code efficiently
  • Python
  • Written communication
  • Verbal communication
  • Teamwork
  • 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.)

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 £39,850 + Technical Allowance £25,150–£35,150)
  • Level 4: £85,000–£95,000 (Base £47,355 + Technical Allowance £37,645–£47,645)
  • Level 5: £105,000–£115,000 (Base £61,620 + Technical Allowance £43,380–£53,380)
  • Level 6: £125,000–£135,000 (Base £74,605 + Technical Allowance £50,395–£60,395)
  • Level 7: £145,000 (Base £74,605 + Technical Allowance £70,395)

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.

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.

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. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.

Diversity and Inclusion

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

Software Engineer - Core Technology in London employer: AI Security Institute

The AI Security Institute is an exceptional employer, offering a unique opportunity to work at the forefront of AI governance and security in a dynamic environment. With a strong focus on employee growth, you will benefit from mentorship by leading experts, flexible working arrangements, and generous leave policies, all while contributing to impactful research that shapes global AI policy. Located in central London, our modern office provides a vibrant work culture with access to cutting-edge resources and a supportive team dedicated to making a difference.

AI Security Institute

Contact Details:

AI Security Institute Recruitment Team

We think you need these skills to ace Software Engineer - Core Technology in London

Production Quality Code Writing
Python Programming
Cloud Infrastructure (AWS, Azure)
Infrastructure-as-Code
DevOps Practices
Technical Mentoring
Complex Tech Product Design