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, influencing global 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 impact on AI safety while working with top-tier researchers and engineers.
- Qualifications: Experience in Python and production-quality code; teamwork and communication skills are essential.
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.
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).
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.
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.
We select based on skills and experience regarding the following areas:
- Writing production quality code.
- Writing code efficiently.
- Python.
- Verbal communication.
- Teamwork.
- Interpersonal skills.
We additionally may factor in experience with particular areas like:
- Cybersecurity expertise.
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.
- 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.
These benefits apply to direct employees. Benefits may differ for individuals joining through other employment arrangements such as secondments. 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.
Software Engineer - Core Technology employer: AI Security Institute
The AI Security Institute is an exceptional employer, offering a unique opportunity to work at the forefront of AI safety and governance in a dynamic and supportive environment. With access to cutting-edge technologies, mentorship from world-class researchers, and a strong focus on employee growth, you will have the chance to make a real impact while enjoying generous benefits such as flexible working arrangements, extensive leave, and a robust pension contribution. Located in central London, our modern office fosters collaboration and innovation, making it an ideal place for talented individuals to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer - Core Technology
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at AI Security Institute or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to AI Security Institute.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like AI Security Institute.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like AI Security Institute that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Software Engineer - Core Technology
Some tips for your application 🫡
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.