Machine Learning Engineer

SydneyFull-time2026-11-09

Core

Build and deploy production-grade ML software, tools, and infrastructure for diverse clients in government, finance, retail, energy, life sciences, and defence.

Role type

Senior IC machine learning engineer (MLOps/Infrastructure)

Builds

Scalable, production-grade ML systems and reusable software architecture

Domain

Enterprise AI / MLOps / Cloud Infrastructure

Deliverable

production ML models

Required skills

Python, Scikit-learn, TensorFlow, PyTorch, AWS, Azure, GCP, Docker, Kubernetes, Cloud Architecture, Security, Probability, Statistics

Preferred skills

Software engineering best practices, Technical advisory, Cross-functional collaboration

Technologies

Scikit-learn, TensorFlow, PyTorch, AWS, Azure, GCP, Docker, Kubernetes

Responsibilities

Build and deploy production-grade ML software and infrastructure; Create reusable, scalable solutions; Collaborate with engineers and commercial leads; Lead technical scoping and architectural decisions; Define standards for deploying ML at scale; Act as a technical advisor to customers.

Seniority

Senior, hands-on IC

About Faculty

Faculty is one of the world's leading applied AI companies, helping many of the organisations that shape our world to adopt AI successfully and safely. We play an important role in the emerging AI safety ecosystem. We already have many of the key Frontier Labs as clients, including Open AI and Anthropic, for whom we provide third-party red teaming, technical testing and other AI safety services. And we work with the UK government and other international governments on AI safety, including helping set up the AI Security Institute and delivering technical work which catalysed the first global AI