Jobs at Faculty (faculty.ai)

Lead architecture and full-stack development of AI-powered platforms, build scalable frontend and backend systems, mentor engineers, translate client problems into production-ready solutions, and ensure high code quality and reliable deployments.

Design and deliver bespoke data science solutions, scope technical feasibility, build scalable algorithms and software, advise clients, set technical standards for project teams, and contribute to thought leadership and delivery of high-impact AI projects.

As Lead Data Scientist, oversee project teams delivering AI solutions, mentor junior team members, and shape technical strategy for financial services clients.

As a Machine Learning Engineer, you will develop software solutions using machine learning, collaborate with clients, and deliver impactful projects working within cross-functional teams.

Design, build and scale full-stack AI-powered systems. Own frontend and backend architectures, lead cross-functional teams, mentor junior engineers, provide technical authority, and collaborate with clients on architecture and deployment.

The Senior Research Scientist will conduct high-impact AI safety research, lead evaluations and red-teaming projects, and support academic publication efforts in applied AI safety.

Design, build and deploy production-grade ML systems for retail and consumer clients. Lead technical scoping, architecture and best practices, collaborate with data scientists and engineers, operationalise models, and advise customers to deliver scalable, secure ML solutions that drive business outcomes.

As the Technical Director of AI Safety, you'll lead AI safety initiatives, oversee R&D, mentor teams, and drive innovations, representing Faculty in global AI safety discussions.

As a Machine Learning Engineer, you'll build and deploy production-grade ML software, lead technical decisions, and collaborate with teams to deliver AI solutions.

As a Software Engineer, you will scale the Frontier Decision Intelligence platform, build APIs, and collaborate with cross-functional teams to solve complex technical challenges.

Lead organisational ML engineering strategy and architecture for high-stakes programmes. Own end-to-end delivery, drive adoption of platforms and technologies, coach senior engineering talent, shape executive client engagements, and lead technical pre-sales to win flagship AI projects.

Lead the learning science discipline: define learning goals, skill models, adaptivity and feedback; create a Learning Science Playbook; design rigorous evaluations; partner with product, data science and engineering to embed pedagogically sound, measurable AI-driven learning systems; contribute to safety and assurance; mentor colleagues and represent Faculty externally.

Lead and develop the Product Management discipline for Applied AI, set standards and skill frameworks, perform senior consulting on client engagements, advise enterprise clients on adoption and operating models, partner in business development, and mentor teams to build durable AI-powered products.

Lead and develop product and service design within Applied AI, deliver high-impact client engagements, build design capability, define skill frameworks, and partner with business development and executive stakeholders.

As a Senior Manager, you will oversee project delivery, manage customer relationships, identify business opportunities, and mentor teams in AI applications.

Lead commercial growth for Energy Transition & Environment accounts by managing client relationships, driving multi-million-pound sales, overseeing cross-functional delivery teams, identifying AI-driven use cases, negotiating complex deals, and representing Faculty at industry events.

The Senior Data Scientist will lead AI projects, mentor junior staff, design software architecture, and engage with clients to deliver quality data science solutions.

As a Senior Machine Learning Engineer, you will lead the development of AI systems, design production-grade ML software, and mentor junior engineers while engaging with clients on technical strategies.

Lead design, build and deploy production-grade ML systems and infrastructure. Make architecture decisions, implement best practices for ML at scale, advise clients, collaborate cross-functionally, and mentor junior engineers while meeting operational and ethical standards.

Lead technical direction and delivery of large-scale AI/ML platforms. Architect microservices and shared libraries, align ML, data science and DevOps, coach distributed engineers, define production readiness, and drive hiring and standards across software engineering.