Jobs at Faculty (faculty.ai)

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.

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.

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.

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

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.

Design, build and deploy production-grade machine learning systems and infrastructure. Create reusable, scalable ML solutions, guide architecture and technical scoping, collaborate with cross-functional teams, and advise clients on ML feasibility, security, and best practices.

Support delivery of AI safety projects by managing workstreams, engaging stakeholders, performing open-source analysis, translating operational needs into user stories, designing and testing decision-support workflows, collaborating with engineering teams, and contributing to team strategy and capability development for government and frontier-model evaluation clients.

Lead design, development and deployment of production-grade ML systems. Architect scalable ML infrastructure, implement best practices, advise clients, mentor engineers, and collaborate cross-functionally to deliver responsible AI solutions.

Design, build, and deploy production-grade ML systems and reusable infrastructure. Collaborate with cross-functional teams, lead technical scoping and architecture, define deployment standards, and advise clients on ML feasibility and delivery.

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.

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

Lead the development and deployment of scalable AI systems, mentor junior engineers, and collaborate with teams to solve client challenges.

The Principal Data Scientist will lead complex projects, drive innovation in AI solutions, mentor teams, and influence data science strategy.

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