Software Engineer

About the role

Faculty is seeking a Machine Learning Engineer to deliver bespoke, impactful AI solutions for a diverse range of clients. You will be responsible for bringing machine learning out of the lab and into the real world by contributing to scalable software architecture and defining best practices. This role involves working with cross-functional teams to ensure the 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
• Python
• Software Engineering
• AWS
• Azure
• GCP
• Docker
• Kubernetes
• Scikit-learn
• TensorFlow
• PyTorch

About the Company

Faculty was established in 2014 to innovate, build, and deploy responsible AI. They provide technical, product, and delivery expertise to clients across government, finance, retail, energy, life sciences, and defence.