Faculty
Senior Machine Learning Engineer
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Why Faculty
We established Faculty in 2014 because we believed that AI would be the most important technology of our time. Since then, we have collaborated with over 350 global customers to revolutionise performance through human-centric AI. Discover our impact on the real world here.
We avoid chasing hype cycles. We invent, build, and deploy responsible AI that makes a significant difference – and we have the expertise to do this exceptionally well. We provide incomparable depth of technical, product and delivery expertise to our clients, who range across government, finance, retail, energy, life sciences and defence.
Our business and reputation are expanding rapidly, and we continually seek individuals who share our intellectual curiosity and desire to create a meaningful legacy through technology.
AI is a defining technology for our time – join a company where you can develop its most impactful applications and make them a reality.
About the Team
Our National Security and AI Safety business unit is focused on advancing the responsible development and deployment of AI to support national security and global stability. From strengthening critical mission capabilities in national security and intelligence to collaborating with cutting-edge labs for advanced AI safety red teaming and evaluation, we operate at the forefront of high-stakes, high-impact missions.
We recognise that potent AI systems offer both transformative opportunities and complex risks. We are proud to partner with Government and the most significant technology firms globally to ensure that AI is not only transformative but also secure, trustworthy, and safe for everyone.
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Given the sensitive nature of our work with Government clients, you may need to be eligible for UK Developed Vetting (DV) and be willing to work on-site with our clients periodically.
About the Role
As a Senior Machine Learning Engineer, you will lead the development and deployment of state-of-the-art AI systems across various clients. Your responsibility will encompass designing, building, and deploying scalable, production-grade ML software and infrastructure that adheres to rigorous operational and ethical standards.
This dynamic, cross-functional role requires expertise in technical leadership, engineering, and confident client-facing communication.
Responsibilities
- 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 tackle critical client challenges and seize opportunities
- Acting as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies
- Mentoring and guiding junior engineers, fostering the team’s engineering culture and technical expertise
Requirements
- Deep understanding of the full ML lifecycle and extensive experience operationalising models built with frameworks like TensorFlow or PyTorch
- Demonstratable expertise in software engineering, notamment strong Python skills, with a focus on building robust, reusable systems
- Stereotypical experience working with cloud platforms (AWS, Azure, GCP), including architecture, security, and infrastructure
- Significant hands-on experience with containerisation and orchestration tools, such as Docker & Kubernetes, for managing applications at scale
- Thriving in fast-paced, high-growth settings, with a track record of owning projects from start to finish
- Outstanding communication skills for successfully guiding both technical teams and senior, non-technical stakeholders
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Our Interview Process
- Talent Team Screen (30 minutes)
- Pair Programming Interview (90 minutes)
- System Design Interview (90 minutes)
- Commercial Interview (60 minutes)
Recruitment Ethos
We aim to assemble the best team—not merely the most homogeneous one. We strongly believe that diversity of individuals drives diversity of thought, which, in turn, fortifies our commitment to seeking truth. Diverse teams deliver better results, closely attuned to the world we live in. We are united by our intellectual curiosity and the desire to make a tangible positive impact.
We encourage applications from individuals of all backgrounds, ethnicities, genders, religions, and sexual orientations.
Benefits
- Unlimited Annual Leave Policy
- Private healthcare and dental care
- Enhanced parental leave
- Family-friendly flexibility and flexible working options
- Sanctus Coaching
- Hybrid Working
If you feel you don’t meet all the requirements but believe you possess key strengths relevant to the role or potential future opportunities, please do not hesitate to apply. We welcome discussions about part-time hours and other flexible arrangements.
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