Lead Machine Learning Engineer

The role

You will spearhead the technical direction and delivery of complex AI and software projects. You will architect scalable ML systems, lead engineering teams, and act as a technical expert for customers.

What you will do

• Setting the technical direction for complex ML and software projects
• Architecting, implementing, and maintaining reliable, scalable ML/software systems
• Defining project problems and developing roadmaps
• Overseeing delivery across multiple workstreams
• Driving the development of shared resources and libraries
• Leading hiring processes and making selection decisions
• Mentoring multiple individuals to foster team growth
• Developing and executing recommendations for adopting new technologies
• Acting as a technical expert and coach for customers
• Estimating large work-streams and defending rationale to stakeholders

Required qualifications

• Strong software engineering skills in Python
• Strong software engineering skills in at least one compiled or strongly-typed language (e.g. Go, Java, Rust, or TypeScript)
• Expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS)
• Experience leading teams to build full-stack web applications
• Hands-on experience with containerisation tools like Docker
• Hands-on experience with orchestration via Kubernetes
• Ability to manage and coach a team of engineers

About the company

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