ML / AI Jobs in Australia
There are 160 open ML / AI jobs in Australia on freehire right now. 29 of them were posted recently. The skills employers ask for most often are machine-learning, ai and python.
Most requested skills
- machine-learning 84%
- ai 71%
- python 48%
- cloud 32%
- aws 30%
- pytorch 30%
- llm 27%
- computer-vision 24%
How the work is done
- Hybrid 27 · 17%
- Remote 13 · 8%
- Onsite 12 · 8%
Visa sponsorship offered in 80% of the 10 postings that state a position on it.
Seniority
- Senior 47
- Staff 14
- Intern 9
- Lead 4
- Principal 4
- C-level 2
Who is hiring
- 1000+ employees 17
- 501-1000 employees 17
- 51-200 employees 8
- 11-50 employees 4
- 201-500 employees 2
Machine Learning Engineer
Build and deploy AI infrastructure and services for Xero’s products, turning ML models into scalable production systems that serve millions of small-business users.
AI Computer Vision Engineer
Build and deploy AI-powered computer vision models for video analytics, working across edge and cloud environments using Python, OpenCV, and frameworks like TensorFlow or PyTorch.
Machine Learning Engineer - AI Team
Build and deploy ML models in NLP, computer vision, and generative AI, integrating them into production apps via cloud APIs and frameworks like PyTorch and LangChain.
Machine Learning Engineer
Senior DevOps ML Engineer builds and runs AI platforms, splitting time between GPU-accelerated Kubernetes, backend services, and MLOps to productionize LLMs and digital avatars.
Machine Learning Engineer
Build real-time computer vision models in Python/C++ to track movement in airports and smart spaces, using NVIDIA DeepStream and cloud infrastructure.
Senior Machine Learning Engineer (Platform / MLOps)
Build and scale ML infrastructure for aerial imagery AI at Nearmap, including batch inference, real-time serving, and LLM platforms on AWS/GCP, while owning reliability and developer tooling.
Senior Machine Learning Engineer, Platform / MLOps
Build and scale the ML infrastructure that powers Nearmap’s aerial imagery analytics and generative AI products, including real-time model serving, GPU training, and LLM platforms on AWS/GCP.
Engineer, Machine Learning Systems (AI Products)
Design and build large-scale distributed systems that power AI features for millions of users, focusing on architecture, cost, robustness, and team technical excellence.
Machine Learning Engineer - Intern
Build and ship a scoped ML project on a decentralized training system using Python/PyTorch and distributed cloud infrastructure (AWS/GCP).
Senior Machine Learning Engineer
Build and deploy ML models to detect fraud and improve customer experience in digital gifting and payments using frameworks like PyTorch and cloud platforms like AWS.
Senior Machine Learning Engineer
Build and scale production-grade ML models to improve pet health outcomes, working with PetSure’s AI team to design, deploy, and maintain ML systems.
Machine Learning Engineer Team Lead
Leads a small team of ML/data engineers to design, build, and deploy production-ready AI models on Azure, owning the full lifecycle from problem framing to monitoring.
Real-Time ML Engineer for Distributed Training & Inference
Build and optimize distributed ML training and real-time inference systems to accelerate trading strategies using GPU acceleration and open-source ML frameworks.
Senior Cloud Architect AI/ML & Security
Designs and governs secure, AI-integrated cloud platforms on AWS and Azure, using IaC and DevSecOps to deliver hybrid solutions for government and enterprise clients.
