Jobs at Faculty (faculty.ai)

Develop and implement AI-driven software solutions using Python and collaborate with cross-functional teams to build the Frontier AI platform.

Lead FP&A for the global Fellowship Programme: build financial models, scenario planning and commercial analysis; partner with stakeholders to inform pricing, profitability and strategic decisions; monitor KPIs; support leadership with business cases; and improve reporting, forecasting and analytics through automation.

Design, build and deploy production-grade ML systems and infrastructure. Create reusable, scalable solutions, lead technical scoping and architecture, collaborate with data scientists and engineers, and advise clients and stakeholders on ML feasibility, standards, and delivery.

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.

As a Lead Software Engineer, you'll enhance the Frontier Decision Intelligence platform, driving technical contributions and scalable solutions while collaborating within cross-functional teams.

The Lead Machine Learning Engineer will direct AI projects, ensure sound architectural decisions, mentor engineers, and drive innovation within the team.

Lead Data Scientist defines technical direction and architects production-grade ML solutions, oversees end-to-end delivery and technical risk, scopes high-value proposals, manages client relationships, mentors data scientists, and drives adoption of best practices across multidisciplinary teams to deliver high-impact public-sector projects.

The Lead Forward Deployed Engineer will direct complex AI projects, guide architectural decisions, foster team growth, and ensure scalable solutions across multiple work-streams.

Lead delivery of large-scale AI programmes across the energy and utilities value chain; balance hands-on project delivery with business development and tendering; advise clients on AI strategy and technical implementation; manage ambiguous, high-stakes engagements and support broader commercial and strategic initiatives.

Lead multiple complex AI-driven programs for Public Services clients, manage project portfolios, develop proposals, mentor team members, and advise on AI strategy.

The Head of Research and Development for AI Safety will lead a research team focused on AI safety, drive the research agenda, manage publications, and influence AI safety strategies with industry impact.

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, 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.

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.

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.