Jobs at Faculty (faculty.ai)

Lead strategic client engagements to discover, build, and launch impactful AI products. Guide cross-functional teams of data scientists, engineers, designers, and delivery specialists; advise senior stakeholders on AI and product strategy; define outcomes, prioritization, evaluation approaches, and trade-offs; develop client product capabilities; support business development; contribute thought leadership; and coach other product managers.

Build and scale AI-powered production systems across the frontend and backend. Responsibilities include designing scalable architectures, leading engineers, creating maintainable project frameworks, providing full-stack technical authority, deploying software, and advising clients on complex technical requirements and architecture.

Build and maintain secure, scalable cloud infrastructure supporting AI, machine learning, data science, and containerized workloads. The role includes developing infrastructure as code, reusable libraries, CI/CD and GitOps practices, integrating open-source technologies, and enabling ML engineers and data scientists. It also involves client and stakeholder collaboration, requirements gathering, technical planning, solution scoping, and recommending cloud infrastructure approaches.

The Customer Director grows strategic retail accounts, identifies new business opportunities, leads complex AI transformation programs, and manages senior stakeholder relationships. They shape commercial pitches, advise C-suite clients on AI adoption, oversee multidisciplinary delivery teams, and contribute to thought leadership across grocery and fashion retail. The role combines revenue ownership, strategic consulting, technical credibility, and practice leadership.

Leads complex data science and machine learning projects from technical scoping through production delivery. Sets technical direction, architects reliable solutions, manages risk and roadmaps, supports strategic sales engagements, and builds trusted client relationships. The role also establishes technical standards, mentors data scientists, coordinates cross-functional teams, and contributes to business-unit initiatives and long-term organisational growth.

Lead strategic AI product engagements for enterprise and public-sector clients. Define product strategy, lead discovery and prioritization, guide cross-functional teams, advise senior stakeholders, and ensure AI products deliver measurable commercial or public benefit. Build client product-development capabilities, shape evaluation strategies, support business development, contribute thought leadership, and coach product managers.

Owns end-to-end recruitment for commercial and central-function roles, from scoping and sourcing through interviews, offers, and onboarding. Advises hiring managers, builds diverse passive-talent pipelines, designs structured assessments, analyzes recruitment metrics, supports inclusion initiatives, and represents the employer brand at industry events. The role contributes to hiring strategy and delivers a high-quality, inclusive candidate experience in a fast-growing AI organization.

Leads growth across public sector accounts by driving sales, managing strategic government relationships, negotiating complex AI deals, and overseeing large-scale AI transformation programmes. The role combines consulting, commercial leadership, AI strategy, stakeholder management, and delivery oversight while mentoring teams and shaping the Public Services business direction.

Manage workstreams delivering bespoke AI projects across education and public services. Responsibilities include understanding client needs, translating operational and pedagogical requirements into user stories, coordinating multidisciplinary technical teams, supporting AI safety and evaluation, facilitating client workshops, and contributing to proposals and thought leadership. The role focuses on practical, fair, evidence-backed AI solutions that improve learning and public-sector outcomes.

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 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.

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.