At a Glance
- Tasks: Manage AI projects, build client relationships, and deliver impactful solutions in national security.
- Company: Join Faculty, a leader in responsible AI innovation since 2014.
- Benefits: Enjoy unlimited leave, private healthcare, flexible working, and coaching support.
- Other info: Diverse and inclusive culture that values intellectual curiosity and positive impact.
- Why this job: Be part of a team shaping the future of AI in national security.
- Qualifications: Analytical thinkers with client-facing experience and knowledge of Agile methodologies.
The predicted salary is between 54000 - 66000 £ per year.
We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human‑centric AI. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle – and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.
Our National Security and AI Safety business unit is dedicated to advancing the responsible development and deployment of AI in support of national security and global stability. From strengthening mission‑critical capabilities across national security and intelligence, to working with frontier labs to provide robust AI safety red‑teaming and evaluation, we work at the frontier of high‑stakes, high‑impact missions. We understand that powerful AI systems bring both transformative opportunities and complex risks and we are proud to partner with Government and the biggest tech organisations in the world to ensure AI is not just transformative but is also secure, trustworthy and safe for all. Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Developed Vetting (DV) and willing to work on site with our clients from time to time.
As an Associate within our National Security Team, you’ll be part of a close‑knit team ‑ scoping, building and delivering impactful AI projects for our clients in the industry. We’ll look to you to build trusted client relationships, analyse requirements and feedback, stay on top of workflows and help to ensure our bespoke AI tools are optimised for real‑world operations. This is an exciting, new role for an individual motivated to build their knowledge of AI transformation in the National Security sector.
What you’ll be doing:
- Managing individual work streams to support the successful delivery and implementation of bespoke AI solutions
- Working side‑by‑side with key stakeholders to understand critical mission challenges and user needs
- Conducting open‑source analysis to support the development of cutting‑edge AI tools
- Translating complex operational requirements into clear user stories for delivery and engineering teams
- Designing and testing workflows that support user‑centric decision‑making in high‑stakes environments
- Collaborating closely with technical teams to ensure projects run smoothly and solutions meet customer needs
- Contributing to internal thought leadership, strategy, and capability development across the team
Who we’re looking for:
- You demonstrate analytical thinking, can clearly communicate ideas, and synthesise complex information
- You have external client‑facing experience and have built trusted relationships which have contributed to the overall success of projects/products
- You’ve worked with technical teams
- You understand Agile and related methodologies and the basis of iterative development and continuous delivery
- You are thoughtful and proactive in ambiguous situations, with examples of when you’ve taken initiative and owned finding solutions to challenges
- You’re excited and knowledgeable about the possibilities for innovation in National Security technology
Our interview process:
- Talent Team Screen (30 mins)
- Introduction Interview (60 mins)
- Case Study Interview (60 mins)
- Interview with Business Unit Director (30 mins)
Our Recruitment Ethos: We aim to grow the best team ‑ not the most similar one. We know that diversity of individuals foster diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
Some of our standout benefits:
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family‑Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working
A note on AI: we’re happy for you to use it for research and interview prep, but please don’t use it to generate answers during live interviews. We also use an AI note‑taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.
Associate (National Security) employer: Faculty Science Limited
At Faculty Science Limited, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our team enjoys a range of benefits including professional development opportunities, flexible working arrangements, and the chance to work on impactful projects in a vibrant location. Join us to advance your career in machine learning while contributing to meaningful solutions that make a difference.
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We think you need these skills to ace Associate (National Security)
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
