Software Engineer

About the role

Join Faculty as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for diverse clients. You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices. Working with cross-functional teams, you will ensure technical feasibility and timely delivery of high-quality, production-grade ML systems.

Responsibilities

• Building and deploying production-grade ML software, tools, and infrastructure.
• Creating reusable, scalable solutions that accelerate the delivery of ML systems.
• Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges.
• Leading technical scoping and architectural decisions to ensure project feasibility and impact.
• Defining and implementing Faculty’s standards for deploying machine learning at scale.
• Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders.

Required skills

• Machine learning lifecycle
• Scikit-learn
• TensorFlow
• PyTorch
• Python
• Software engineering
• Cloud platforms
• AWS
• Azure
• GCP
• Docker
• Kubernetes
• Probability
• Statistics

About the Company

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