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 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
Requirements
- 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
Benefits
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family-Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working
Work Arrangement
Hybrid
Why Faculty?
- Faculty was established in 2014 with the belief that AI would be the most important technology of our time.
- They have worked with over 350 global customers to transform performance through human-centric AI.
- They focus on building responsible AI that creates real-world impact across sectors.
- The company values intellectual curiosity and aims to build a positive legacy through technology.
- AI is considered an epoch-defining technology, and employees are empowered to envision and implement its most powerful applications.
About the team
- The Public Services Business Unit focuses on leveraging AI for public good, including improving government decisions, NHS efficiency, and reducing bureaucratic backlogs.
- Work involves impactful projects within government sectors.
- Eligibility for UK Security Clearance (SC) may be required.
- Occasional on-site work with clients may be necessary.
Interview Process
- Talent Team Screen (30 minutes)
- Pair Programming Interview (90 minutes)
- System Design Interview (90 minutes)
- Commercial Interview (60 minutes)
Our Recruitment Ethos
- Commitment to building a diverse and inclusive team.
- Belief that diversity of individuals fosters diversity of thought and strengthens pursuit of truth.
- Experience shows diverse teams deliver better, more relevant work.
- United by intellectual curiosity and desire to create measurable positive impact.
- Strong encouragement for applications from all backgrounds, ethnicities, genders, religions, and sexual orientations.
- Open to conversations about part-time hours.
Additional Information
- Eligibility for UK Security Clearance (SC) may be required.
- Willingness to work on site with clients from time to time.
