Faculty

Affiliate Manager

• Own the recruitment lifecycle from initial scoping through interviewing, offer management, and candidate onboarding
• Source passive talent through LinkedIn, networking channels, and referrals
• Build diverse candidate pipelines
• Partner with business leaders as a trusted advisor
• Provide data-backed insights and guide recruitment strategy
• Design structured interview packs and assessment criteria
• Drive diversity and inclusion initiatives throughout the hiring funnel
• Analyze recruitment data and pipeline metrics
• Identify bottlenecks and optimize recruitment process performance
• Represent Faculty at industry events, conferences, and meetups to amplify its employer brand

Talent Partner

Manager

• Own end-to-end delivery of customer projects, from initial scoping to final implementation
• Collaborate with technical teams and customers to design innovative AI solutions
• Manage project development and ensure a delivery approach that maximises customer value
• Build and maintain strong customer relationships as the primary point of contact throughout the project lifecycle
• Identify new commercial opportunities and contribute to new business pitches and proposals
• Develop and mentor peers
• Take a proactive role in building good processes and practices

Delivery Manager

Associate

• Manage individual work streams supporting the delivery and implementation of bespoke AI solutions
• Work with Retail and Consumer stakeholders to understand mission challenges and user needs
• Conduct open-source analysis to support development of AI tools
• Translate operational requirements into user stories for delivery and engineering teams
• Design and test workflows supporting user-centric decision-making in high-stakes environments
• Collaborate with technical teams to ensure smooth project execution and customer-aligned solutions
• Contribute to internal thought leadership, strategy, and capability development

• Own end-to-end delivery of customer projects from initial scoping to final implementation
• Collaborate with technical teams and customers to design innovative AI solutions
• Manage project development and delivery approach to maximise customer value
• Build and maintain strong customer relationships as the primary project contact
• Identify new commercial opportunities and contribute to business pitches and proposals
• Develop and mentor peers
• Build effective delivery processes and practices

Machine Learning Engineer

• Lead development and deployment of cutting-edge AI systems for diverse clients
• Lead technical scoping and architectural decisions for high-impact machine learning systems
• Design and build production-grade ML software, tools, and scalable infrastructure
• Define and implement best practices for deploying machine learning at scale
• Collaborate with engineers, data scientists, product managers, and commercial teams on client challenges and opportunities
• Advise customers and partners by translating complex technical concepts into actionable strategies
• Mentor junior engineers and shape engineering culture and technical depth

Senior Machine Learning Engineer

AI Research Scientist

• Lead Faculty's AI safety research agenda and set priorities aligned with long-term company goals
• Conduct and oversee cutting-edge research on large language models and safety-critical AI systems
• Publish high-impact findings in leading academic conferences and journals
• Identify impactful research opportunities and balance scientific and practical priorities
• Build and mentor a growing team of researchers
• Collaborate on evaluations and red-teaming projects in high-risk domains such as CBRN and cybersecurity
• Position Faculty as a thought leader in AI safety through research and strategic stakeholder engagement

Talent Partner

Delivery Manager

Associate

Delivery Manager

Senior Machine Learning Engineer

Principal Research Scientist – AI Safety