Jobs at Faculty (faculty.ai)

Build and lead Faculty’s internal communications function during global growth. Own communication channels, cadences, company-wide forums, leadership messaging, cultural translation, and storytelling. Partner with senior leaders and regional teams to ensure strategy and AI-focused vision reach employees clearly and consistently. Identify and elevate important business stories, preserve culture at scale, and improve communication architecture while supporting international expansion and organisational change.

Lead high-impact AI projects, define data science approaches, design software architectures, mentor data scientists, shape client engagements, assess technical feasibility, and ensure rigorous delivery. The role requires advanced Python and machine learning expertise, leadership, commercial awareness, client-facing communication, and the ability to develop innovative algorithms across supervised learning, unsupervised learning, NLP, and validation.

Build and scale resilient frontend web applications that present machine-learning insights, collaborate with cross-functional teams, develop reusable design systems and component libraries, maintain CI/CD and deployment workflows, champion frontend engineering standards, and mentor engineers. The role involves modern React and JavaScript or TypeScript development, data visualization, frontend architecture, cloud environments, and software delivery for government and other high-stakes clients.

Lead high-impact data science and AI projects for government and public-sector clients. Define data science approaches, design robust software architectures, lead project teams, mentor data scientists, assess technical feasibility, support client relationships, and ensure rigorous delivery. The role also involves thought leadership through courses, public speaking, or open-source contributions.

Lead enterprise sales of large-scale strategic AI engagements across Fortune 500 and FTSE 100 organizations. Build C-suite relationships, manage complex multi-quarter sales cycles, develop qualified pipelines, collaborate with Accenture and other strategic partners, shape technical and commercial solutions, negotiate sophisticated agreements, and achieve revenue targets through disciplined forecasting and cross-functional deal orchestration.

Lead complex, high-value bids across public and private sectors from kickoff through final presentation. Manage bid/no-bid decisions, resource planning, persuasive proposal development, stakeholder and client engagement, tender monitoring, framework management, and process improvement. Translate technical and commercial information into compelling customer value propositions, mentor junior bid professionals, and support revenue growth through strategic commercial execution.

Lead original AI safety research and develop rigorous evaluations measuring risks in frontier models, especially in CBRN and cybersecurity. Responsibilities include designing benchmarks, red-teaming, adversarial testing, uncertainty quantification, statistical analysis, publishing research, shaping the R&D agenda, and advising client delivery teams, frontier labs, government agencies, and national security stakeholders.

Lead high-impact AI projects for life sciences clients, defining data science approaches, designing software architectures, mentoring data scientists, and ensuring rigorous delivery. Build client relationships, assess technical feasibility, shape project scope, contribute to thought leadership, and develop innovative algorithms using Python, NumPy, Pandas, and PyTorch across core data science paradigms including NLP, supervised learning, unsupervised learning, and validation.

Lead complex data science and machine learning projects from technical scoping through production delivery. Set technical direction, architect reliable solutions, define roadmaps, manage technical risk, and oversee multidisciplinary workstreams. Lead client engagements, support commercial opportunities, establish technical best practices, and mentor data scientists and managers. The role also requires influencing engineering, infrastructure, commercial, and business-unit initiatives while delivering practical outcomes under commercial pressure.

Lead the design, development, and deployment of scalable, production-grade machine learning systems. Define ML deployment standards, make architectural decisions, collaborate with technical and commercial teams, advise clients, and mentor engineers. The role requires expertise across the ML lifecycle, software engineering, cloud infrastructure, containerization, orchestration, and responsible AI delivery.

Build and deploy production-grade machine learning software, tools, and infrastructure for diverse clients. Develop scalable reusable ML solutions, collaborate with engineers and data scientists, lead technical scoping and architecture decisions, establish deployment standards, and advise technical and non-technical stakeholders. The role requires expertise across the ML lifecycle, Python software engineering, cloud infrastructure, containerization, orchestration, and core machine learning concepts.

Coordinate Faculty’s learning and development operations, including new-hire onboarding, learning calendars, workshop logistics, platform administration, content updates, communications, and learner support. Manage Sana enrollments, content tagging, troubleshooting, surveys, and version control. Produce learning dashboards and insights while using AI tools to improve administrative efficiency. The role requires strong organization, stakeholder coordination, communication, digital confidence, and regular attendance at the London office.

Supports financial planning and strategic decision-making for UK and international growth. Responsibilities include financial modeling, scenario planning, budgeting, forecasting, profitability analysis, investment cases, performance monitoring, and actionable recommendations. The role partners with senior stakeholders across commercial, delivery, and operational teams while improving financial reporting, forecasting, data analytics, automation, and access to financial insight.

Build scalable, maintainable, and well-tested React applications that visualize AI and machine learning insights. Collaborate with data scientists, data engineers, and designers to deliver client-facing products. Lead frontend feature planning, deployment infrastructure, technical standards, reusable component libraries, mentoring, training, and onboarding while serving as the frontend engineering authority for the team.

Leads upstream AI safety and evaluation initiatives for Frontier Labs, directing project teams, designing scientific experiments, architecting software infrastructure, mentoring data scientists, and advising senior clients. The role combines quantitative research, rigorous methodology, technical leadership, commercial scoping, and thought leadership through novel evaluation methods, speaking, and open-source research.

Lead technical strategy, architecture, capability testing, and deployment of secure, scalable machine learning systems. Build production-grade ML infrastructure, establish safe and reliable AI standards, guide multi-agent and frontier-model evaluations, advise senior clients, mentor engineers, and collaborate with Frontier Labs on AI safety, governance, and sandboxing frameworks.

Leads technical strategy, architecture, capability testing, and deployment of secure AI and machine learning systems. Builds scalable ML infrastructure, orchestration tools, and multi-agent safety frameworks; establishes standards for reliable and ethical AI deployment. Advises senior clients, translates complex technical risks, mentors engineers, and partners with research teams on model evaluations, governance, and production-grade AI solutions.

Oversee an education-sector portfolio of AI and technology projects, ensuring high-quality delivery, commercial viability, risk management, and client satisfaction. Build trusted customer relationships, lead project meetings, develop proposals and sales opportunities, mentor cross-functional teams, and advise clients on AI strategy. The role also requires understanding education policy and technology, managing project scope and margins, and translating complex technical challenges into practical business solutions.

Leads complex AI and digital transformation programmes for UK Government and international public-sector clients. Responsibilities include overseeing portfolios spanning strategy, R&D, and product delivery; developing proposals and growing the public-sector business; advising senior customers on AI strategy and implementation; managing client relationships; mentoring teams; and ensuring high-quality outcomes. Requires public-services experience, GDS-style product delivery, AI and ML understanding, technical credibility, consulting delivery expertise, and strong leadership in ambiguous, high-stakes environments.

Leads high-impact AI and data science projects for retail and consumer clients. Defines technical approaches, translates business problems into scalable solutions, designs software architectures, manages delivery timelines, builds client relationships, mentors data scientists, and promotes responsible AI practices. The role also contributes to business development, hiring, project scoping, and the development of production-grade machine learning and agentic AI systems.