Jobs at Faculty (faculty.ai)

Design, build, and deploy secure, scalable cloud infrastructure and reusable IaC for AI/ML workflows. Enable ML engineers/data scientists via CI/CD, GitOps, containerization, and platform libraries while partnering with stakeholders and researching open-source tooling.

Lead and deliver high-impact AI projects for life-sciences clients: define data science approaches, design robust software architectures, mentor junior data scientists, manage project delivery, build client relationships, and contribute to thought leadership.

Build and deploy production-grade ML software, tools and infrastructure; create reusable, scalable ML solutions; collaborate with engineers, data scientists and commercial leads; lead technical scoping and architecture; define deployment standards; advise clients and stakeholders on ML feasibility and delivery.

Lead a portfolio of AI-focused projects for Communications & Media clients: oversee delivery, commercial margins, client relationships, risk mitigation, proposals and business development, and mentor cross-functional teams while advising on AI strategy.

As a Lead Data Scientist, you will set technical direction, ensure project delivery, manage client relationships, and mentor data scientists.

As a Lead Machine Learning Engineer, you will set technical direction for ML projects, design scalable systems, mentor engineers, and drive innovation. You'll ensure successful project outcomes while balancing trade-offs and guiding team priorities.

The Computer Vision Engineer will lead AI initiatives in the defense sector, delivering solutions and mentoring teams while driving technical strategy and capability development.

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.

Lead project teams in delivering bespoke algorithms, mentor other data scientists, and shape client relationships in the defence and national security sector.

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.

Work on AI transformation projects for government clients: manage work streams, gather stakeholder requirements, perform open-source analysis, translate operational needs into user stories, design and test user-centric workflows, and collaborate with technical teams to deliver bespoke AI solutions.

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

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

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

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.

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 backend and edge/IoT engineering, implementing scalable solutions and mentoring team members while collaborating with Data Science teams.

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 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.