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Faculty

Faculty

faculty.ai

3 Jobs

882 Employees

About the Company

We set Faculty up in 2014 because we thought that AI would be the most important technology of our time.

Our sole purpose is to make it useful to the world. We do that by helping our clients access the most cutting edge AI, and use it to improve the performance of their business.

That’s all we’ve ever done. No chasing hype cycles. Just AI. We take it very seriously.

We've done a lot of it over the years. We've worked with hundreds of organisations, from right across the economy and right across the globe.

We’re very proud of this track record. We feel very privileged to have supported some of the most important organisations in the world, to grapple with the big challenges of our age.

We care deeply about the impact of our work. That’s what motivates us above all.

Listed Jobs

Company background Company brand
Company Name
Faculty
Job Title
Software Engineer
Job Description
**Job Title**: Software Engineer **Role Summary**: Full‑stack engineer responsible for scaling the Faculty Frontier Decision Intelligence platform. Works within a cross‑functional delivery squad to build, extend, and deploy AI‑driven decision‑support features, ensuring robust, scalable architecture and excellent customer experience. **Expectations**: - Deliver high‑quality, production‑ready code for customer‑facing AI solutions. - Collaborate closely with product managers, designers, and client stakeholders to translate requirements into technical specifications. - Maintain and evolve a large, complex codebase, applying best practices in architecture, testing, and deployment. - Participate in system design discussions and advocate for scalable, maintainable solutions. **Key Responsibilities**: - Design, implement, and test backend and frontend components (Python, TypeScript, React). - Integrate Frontier with customers’ existing systems, data pipelines, and workflows. - Deploy solutions using container technologies (Docker) and orchestrators (Kubernetes, where applicable). - Implement automated testing at unit, integration, and end‑to‑end levels. - Contribute to the technical roadmap, feature prioritization, and user‑experience improvements. - Mentor junior developers and enforce coding standards across the squad. **Required Skills**: - Strong programming proficiency in Python and TypeScript. - Experience building SPAs with React and modern frontend tooling. - Deep understanding of system architecture, design patterns, and microservices. - Practical knowledge of PostgreSQL, relational database design, and query optimization. - Hands‑on experience with containerization (Docker) and cluster deployment (Kubernetes preferred). - Proven track record of designing and implementing comprehensive automated testing strategies. - Ability to work autonomously in a fast‑paced environment while collaborating effectively with cross‑functional teams. - Excellent communication skills for translating technical concepts to non‑technical stakeholders. **Required Education & Certifications**: - Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience. - Additional certifications in cloud architecture, DevOps, or AI/ML technologies are a plus but not mandatory.
London, United kingdom
Hybrid
18-12-2025
Company background Company brand
Company Name
Faculty
Job Title
Senior Data Scientist
Job Description
**Job Title:** Senior Data Scientist **Role Summary:** Lead and deliver high‑impact AI projects for defence clients, shaping technical direction, designing robust data‑science solutions, and mentoring junior team members while maintaining client relationships and adhering to security requirements. **Expectations:** - Eligible for UK Security Clearance (SC). - On‑site presence 2–4 days per week at client locations across the UK; remote work permissible otherwise. - Demonstrate senior‑level technical expertise and leadership. - Contribute to thought leadership (training, speaking, open‑source). **Key Responsibilities:** - Define end‑to‑end data‑science approaches and design associated software architectures. - Lead project teams delivering bespoke algorithms and AI solutions for high‑stakes defence applications. - Mentor and develop junior data scientists; foster collaborative culture. - Partner with commercial teams to scope projects, assess technical feasibility, and build client relationships. - Ensure best‑practice methodologies throughout the project lifecycle for high‑quality delivery. - Participate in knowledge‑sharing activities (courses, public speaking, open‑source contributions). **Required Skills:** - ≥5 years senior data‑science experience or quantitative research background. - Advanced Python programming (NumPy, Pandas) and proficiency with a deep‑learning framework (e.g., PyTorch). - Strong expertise in supervised/unsupervised learning, NLP, model validation, and algorithm development. - Proven leadership and mentorship abilities. - Excellent client‑facing communication; ability to translate business problems into rigorous mathematical formulations. - Project planning, feasibility assessment, timeline estimation, and delivery under strict schedules. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or related quantitative field (Master’s/PhD preferred). - Eligibility for UK Security Clearance (SC). - No specific certifications mandated, though relevant AI/ML certifications are advantageous.
United kingdom
Remote
Senior
10-02-2026
Company background Company brand
Company Name
Faculty
Job Title
Senior Manager (AI Safety)
Job Description
**Job Title:** Senior Manager, AI Safety **Role Summary:** Lead the delivery of AI Safety projects, focusing on frontier model evaluations, red‑teaming, and safeguard testing for government and public‑service clients. Act as the primary liaison between clients and data‑science teams, translate cutting‑edge AI safety research into actionable solutions, and drive commercial growth of the AI safety portfolio. **Expectations:** - Proven experience in applied AI safety (lab, academia, or evaluation/red‑teaming roles). - Strong track record in consulting delivery and account growth. - Ability to bridge technical AI safety research with strategic business challenges. - Excellent client relationship and stakeholder management skills. - Leadership capability to mentor and develop junior team members. - Willingness to obtain/maintain UK Security Clearance (SC) and occasional on‑site work. - Entrepreneurial mindset and flexibility to support broader senior‑manager responsibilities. **Key Responsibilities:** - Oversee and provide thought leadership on complex AI safety evaluations and red‑team projects. - Build and maintain trusted relationships with clients, internal safety scientists, and frontier labs (e.g., OpenAI, Anthropic). - Develop and present compelling proposals to expand AI safety and governance services across sectors. - Advise clients on AI safety strategy, governance, and technical implementation. - Mentor team members, aligning duties with the evolving AI safety domain. - Support wider delivery initiatives as needed to maximize strategic and commercial impact. **Required Skills:** - Deep knowledge of AI safety principles, model evaluation, and red‑team methodologies. - Familiarity with frontier AI models and safety testing frameworks. - Consulting/project‑management expertise with a focus on client outcomes. - Strong written and verbal communication; ability to simplify complex technical concepts. - Relationship‑building and partnership development skills. - Structured problem‑solving, high‑quality delivery in high‑stakes environments. - Leadership, coaching, and team development abilities. **Required Education & Certifications:** - Advanced degree (MSc or PhD) in Computer Science, Machine Learning, AI, or a related technical field. - Relevant AI safety, security, or risk‑management certifications preferred. - Eligibility for UK Security Clearance (SC) or ability to obtain it.
London, United kingdom
Hybrid
Senior
01-03-2026