Teams at Faculty (faculty.ai)

Build and scale AI-powered systems in collaboration with data scientists and product managers. Develop reliable frontend and backend architectures, data pipelines, and cloud infrastructure. Deploy machine learning outputs into production-ready applications, provide technical expertise to customers, and manage the full software lifecycle while balancing rapid prototyping with long-term maintainability.

Build scalable, maintainable, and well-tested React applications that visualize AI and machine learning insights. Collaborate with data scientists, data engineers, and designers to deliver client-facing products. Lead frontend feature planning, deployment infrastructure, technical standards, reusable component libraries, mentoring, training, and onboarding while serving as the frontend engineering authority for the team.

Build and optimize cloud platform infrastructure, multi-environment architectures, Infrastructure as Code, Kubernetes clusters, and automated deployment solutions. Own security controls, monitoring, logging, incident response, and root cause analysis for production environments. Collaborate with software and ML engineers on production readiness, develop Python platform tooling, and mentor engineers through reviews and best-practice sharing. The role may support government clients and require UK Developed Vetting eligibility and occasional onsite work.