Faculty

Security Engineer

• Leading project teams that deliver bespoke algorithms and high-stakes AI solutions to clients across the sector.
• Conceiving the core data science approach and designing the associated robust software architecture for new engagements.
• Mentoring a small number of data scientists and supporting the professional growth of technical team members on projects.
• Partnering with commercial teams to build client relationships and shape project scope for technical feasibility.
• Contributing to Faculty’s thought leadership and reputation through delivering courses, public speaking, or open-source projects.
• Ensuring best practices are followed throughout the project lifecycle to guarantee high-quality, impactful delivery.

Senior Data Scientist – National Security

Machine Learning Engineer

• Architecting sophisticated software and data science frameworks for large-scale systems
• Designing integrated system architectures that scale effectively
• Solving intricate technical challenges spanning multiple projects
• Setting strategic technical direction for flagship projects
• Influencing company-wide technical strategy with deep domain expertise

Principal Machine Learning Engineer

• Leading technical scoping and architectural decisions for high-impact ML systems
• Designing and building production-grade ML software, tools, and scalable infrastructure
• Defining and implementing best practices and standards for deploying machine learning at scale across the business
• Collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities
• Acting as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies
• Mentoring and developing junior engineers, actively shaping our team's engineering culture and technical depth

Senior Machine Learning Engineer – National Security

• Setting the technical direction for complex ML projects, balancing trade-offs, and guiding team priorities.
• Designing, implementing, and maintaining reliable, scalable ML/software systems and justifying key architectural decisions.
• Defining project problems, developing roadmaps, and overseeing delivery across multiple workstreams in often ill-defined, high-risk environments.
• Driving the development of shared resources and libraries across the organisation and guiding other engineers in contributing to them.
• Leading hiring processes, making informed selection decisions, and mentoring multiple individuals to foster team growth.
• Proactively developing and executing recommendations for adopting new technologies and changing our ways of working to stay ahead of the competition.
• Acting as a technical expert and coach for customers, accurately estimating large work-streams and defending rationale to stakeholders.

Lead Machine Learning Engineer

Data Scientist

• Guiding the technical delivery of Frontier deployments, from initial discovery to the productionisation of computational twins.
• Owning the end-to-end data science approach, including designing and implementing optimal techniques from EDA to deep learning.
• Partnering with commercial teams and clients as a trusted technical advisor to build strong, lasting relationships.
• Articulating complex technical concepts, model design choices, and strategic decisions clearly to diverse C-suite and engineering audiences.
• Formally managing and mentoring data scientists, taking direct responsibility for their professional growth and career progression.
• Establishing a distinct data science vision and driving best practices for configuring the Frontier product.
• Keeping abreast of the latest advancements in AI and identifying how they can be incorporated into the Frontier product and delivery workflows.

Senior Data Scientist – National Security

Principal Machine Learning Engineer

Senior Machine Learning Engineer – National Security

Lead Machine Learning Engineer

Lead Data Scientist – Customer Development