Founded in 2014, Faculty is one of Europe’s leading applied AI companies. Our suite of AI services and products spans everything organisations need to access frontier AI and get it into the hands of their frontline teams to support their most important work. Widely recognised as a leader in AI safety, we work closely with the world’s leading AI labs, such as OpenAI and Anthropic, to ensure their latest models are safe, human-led and explainable.

Our expertise spans working with Boards, leadership teams and governments to develop a robust AI strategy, designing, building and implementing high-performing AI solutions, and equipping organisations with the knowledge and skills they need to thrive in the AI era. Our PhD-heavy team of deep AI experts has delivered hundreds of real-world AI projects to improve critical public services and drive sustained economic returns across every sector of the economy. Headquartered in London, Faculty remains founder-led and has since raised over £40m from investors including The Apax Digital Fund, LocalGlobe and GMG Ventures.

Faculty

We help our clients use cutting edge AI to improve the performance of their business.

Why Faculty? 

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. You can read about our real-world impact here.

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.

AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.

About The Team

Our Defence team is focused on building and embedding human-centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting-edge AI to high-stakes situations and maintain the balance of global powers essential to our liberty.

Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on-site with these customers which may require travel to locations throughout the UK.

When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK.

About The Role

As a Senior Software Engineer in our Defence business unit, you will lead backend and edge/IoT engineering for critical work streams, implementing robust, scalable patterns. You’ll bridge the gap between machine learning research and production-grade software, raising the technical bar through hands-on contribution and peer mentoring.

Working alongside Lead Engineers and Data Scientists, you will scope and deliver high-impact solutions that provide immediate value to our customers in a fast-paced, entrepreneurial environment.

What You'll Be Doing

Designing and building robust backend and edge/IoT components for diverse client deliverables across multiple software domains.Scoping and executing bounded technical problems to ensure high-velocity delivery.Shipping production-ready code in Python and at least one compiled language such as Rust, C++, Go, C#, or Java.Implementing scalable CI/CD processes, containerisation with Docker, and deployments on Kubernetes or bare metal.Mentoring and pairing with fellow engineers to share best practices and empower the team to deliver their best work.Collaborating with Machine Learning and Data Science teams to operationalise agentic software and advanced AI tooling.

Who We're Looking For

You possess strong hands-on experience in application development and a solid understanding of modern system architecture and design.You have a proven track record of shipping code used by paying customers in both Python and a compiled language.You are highly skilled in DevOps practices, including GitLab CI/CD, Docker, and managing applications in production environments.You bring experience with agentic software development and a passion for understanding and solving complex customer problems.You thrive when acting as a key contributor within a squad, taking ownership of technical challenges and elevating the team's output.You communicate effectively with technical and commercial stakeholders, translating complex requirements into robust engineering solutions.

The Interview Process

Talent Team Screen (30 minutes)System Design Interview (90 minutes) Pair Programming Interview (90 minutes) Commercial & Leadership Interview (60 minutes)

Our Recruitment Ethos

We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters 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.

If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

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.