Senior Machine Learning Engineer (Safety)

About the role

As a Senior Machine Learning Engineer, you will lead the development and deployment of cutting-edge AI systems for diverse clients. You will design, build, and deploy scalable, production-grade ML software and infrastructure that meets rigorous operational and ethical standards while driving technical strategy and mentoring team members.

Responsibilities

• Leading technical scoping and architectural decisions for high-impact ML systems and capability testing of Frontier AI models
• 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
• 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

Required skills

• LLM applications
• Multi-agent harness tooling
• AI Safety evaluation
• TensorFlow
• PyTorch
• Python
• Cloud architecture
• Cybersecurity
• Docker
• Kubernetes

About the Company

Faculty was established in 2014 to transform performance through human-centric AI. They provide technical, product and delivery expertise to clients across government, finance, retail, energy, life sciences and defence.