Jobs at Faculty (faculty.ai)

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

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

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

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 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.

Lead design of AI-native, high-impact user interfaces for Defence clients. Run user research, produce wireframes, prototypes and detailed designs, evolve design systems, ensure accessibility, mentor designers, and communicate design rationale to stakeholders and clients.

The Business Technology Analyst serves as the IT support team's primary point of contact for technical issues, onboarding new employees, and managing in-office technology needs, while collaborating on IT projects and documenting processes.

Lead technical direction and delivery of large-scale, production ML systems. Design and implement scalable model deployment, lifecycle management, CI/CD, APIs, testing and versioning frameworks. Oversee multiple complex workstreams, justify architectural decisions to stakeholders, coach engineers, and recommend new AI technologies to maintain competitive advantage in high-risk environments.

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.

Design, build and deploy production-grade ML software and infrastructure. Create reusable, scalable ML solutions, lead technical scoping and architecture, collaborate with engineers, data scientists and stakeholders, and advise clients on operationalising models and best practices.

As a Lead Data Scientist, you will set technical direction, ensure project delivery, mentor teams, and manage client relationships to drive innovation and excellence.

As a Lead Machine Learning Engineer, you will set technical direction, lead ML projects, develop solutions, mentor engineers, and improve delivery processes.

As a Principal Machine Learning Engineer, you will design and develop scalable AI solutions, influencing company strategy and providing authoritative guidance on complex projects in the financial sector.

As a Software Engineer in the AI Platform team, you'll architect infrastructure for AI, maintain deployment and MLOps tools, and support diverse client environments.

The Senior Machine Learning Engineer will lead the development and deployment of AI systems, designing scalable ML software, collaborating with teams, and mentoring juniors.

As a Senior Software Engineer, you'll lead technical delivery in customer projects, utilizing AI and machine learning, and collaborate with cross-functional teams to optimize and integrate solutions.

As Customer Director, drive revenue growth, manage complex client relationships in Life Sciences, and oversee AI solutions delivery.

The Lead Computer Vision Engineer will lead technical delivery of computer vision projects, develop state-of-the-art AI solutions for defense, and mentor team members.

Lead Machine Learning Engineer to oversee AI projects, guide technical direction, manage teams, and innovate in building scalable ML systems.