Lead Machine Learning Engineer

The role

You will spearhead the technical direction and delivery of complex AI projects. You will design 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 projects
• Designing, 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 Python skills
• Practical experience operationalising models using frameworks like Scikit-learn, TensorFlow, or PyTorch
• Expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS)
• Led teams to build full-stack web applications
• Hands-on experience with containerisation tools like Docker
• Hands-on experience with orchestration via Kubernetes
• Can successfully manage and coach a team of engineers
• Excellent communicator

About the company

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