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 that moves the needle. Our unparalleled depth of technical, product, and delivery expertise serves clients in government, finance, retail, energy, life sciences, and defence, and our business is growing fast, attracting individuals who share our intellectual curiosity and desire to build a positive legacy through technology.
About The Team
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 operate at the frontier of high‑stakes, high‑impact missions. Because of our work with government clients, you may need to be eligible for UK Developed Vetting (DV) and may need to work on site with clients from time to time.
About The Role
As a Senior Machine Learning Engineer, you will lead the development and deployment of cutting‑edge AI systems for our diverse clients. You’ll design, build, and deploy scalable, production‑grade ML software and infrastructure that meets rigorous operational and ethical standards. This ambitious, cross‑functional role requires a blend of technical expertise, engineering leadership, and confident client‑facing skills.
What You’ll Be Doing
- Leading technical scoping and architectural decisions for high‑impact ML systems
- Designing and building production‑grade ML software, tools, and scalable infrastructure
- Defining and implementing best practices and standards for deploying machine learning at scale across the business
- Collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities
- Acting as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies
- Mentoring and developing junior engineers, actively shaping our team’s engineering culture and technical depth
Who We’re Looking For
- You understand the full ML lifecycle and have significant experience operationalising models built with frameworks like TensorFlow or PyTorch
- You bring deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems
- You have demonstrable hands‑on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure
- You’ve extensive experience working with container and orchestration tools such as Docker & Kubernetes to build and manage applications at scale
- You thrive in fast‑paced, high‑growth environments, demonstrating ownership and autonomy in driving projects to completion
- You communicate exceptionally well, confidently guiding both technical teams and senior, non‑technical stakeholders
Our Interview Process
- Talent Team Screen (30 minutes)
- Pair Programming Interview (90 minutes)
- System Design Interview (90 minutes)
- Commercial Interview (60 minutes)
Our Recruitment Ethos
We aim to grow the best team – not the most similar one. Diversity of individuals fosters diversity of thought, strengthening our principle of seeking truth. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact, and 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
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 – you might be right for this role or other roles. We are open to conversations about part‑time hours.
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