Jobs at Faculty (faculty.ai)

The Staff Product Designer will establish design standards for an AI-native platform, focusing on user interaction, coherence, and innovative design patterns. Responsibilities include defining interaction models, pioneering new design frameworks, and mentoring peers while collaborating across teams to enhance design culture.

Lead end-to-end recruitment for individual contributor and leadership roles across Applied AI and central functions. Source passive and diverse candidates, advise hiring managers, manage inclusive hiring processes, and build talent pipelines. Drive employer branding, early careers, candidate experience, and DE&I initiatives while using market insights and data to improve hiring workflows and represent Faculty externally.

Provide Level 1 IT support as first point of contact, diagnose and resolve hardware/software issues, onboard new employees, manage in-office technology, own IT projects, and document processes to build a knowledge base.

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.

The role involves designing, building, and deploying ML systems, supporting stakeholders, and operationalizing AI applications in Defence.

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 Principal Software Engineer, you'll lead backend and IoT engineering for Defence projects, ensuring high-quality software delivery while mentoring engineers and implementing robust CI/CD processes.

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 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.

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.

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 role offers veterans a one-week unpaid placement to learn about AI and data science in a leading UK tech company.