Senior Machine Learning Engineer

The role

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.

What you will do

• 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
• Collaborating with engineers, data scientists, product managers, and commercial teams
• Acting as a trusted technical advisor to customers and partners
• Mentoring and developing junior engineers

Required qualifications

• Significant experience operationalising models built with frameworks like TensorFlow or PyTorch
• Deep expertise in software engineering
• Strong Python skills
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) including architecture, security, and infrastructure
• Extensive experience working with container and orchestration tools such as Docker and Kubernetes
• Ability to communicate confidently with technical teams and senior, non-technical stakeholders

Before you apply

• Talent Team Screen (30 minutes)
• Pair Programming Interview (90 minutes)
• System Design Interview (90 minutes)
• Commercial Interview (60 minutes)
• Do not use AI to generate answers during live interviews

About the company

Faculty was established in 2014 to transform performance through human-centric AI. They work with over 350 global customers across government, finance, retail, energy, life sciences and defence.