ML / AI Jobs in Australia
There are 159 open ML / AI jobs in Australia on freehire right now. 28 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 31%
- aws 30%
- pytorch 30%
- llm 27%
- computer-vision 24%
How the work is done
- Hybrid 27 · 17%
- Remote 13 · 8%
- Onsite 11 · 7%
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 Intern, Data Trust & Safety (Australia) - 2026 Start
Build and improve machine-learning models to detect harmful content on TikTok using computer vision, NLP, and data mining.
Azure Cloud Engineer for AI/ML Infra — Hybrid, Weekly Pay
Designs, implements, and optimizes secure Azure cloud platforms for AI/ML workloads and data services, collaborating with teams to deliver scalable, resilient solutions.
Computer Vision Engineer
Build and optimize computer-vision pipelines for robotics, including sensor fusion, model evaluation, and deployment on edge hardware.
Founding AI/ML Engineer — Architect Agent Systems
Build and shape the AI agent layer for a consumer-facing startup, orchestrating scalable Kubernetes backends and end-to-end model lifecycles.
ML Engineer - LLM & Agent AI Benchmarking (Hybrid)
Builds and runs benchmarks for large language models and AI agents, then deploys the best-performing models into mining-industry software.
Staff Machine Learning Engineer
Build and harden AI agents that resolve customer tickets by planning actions, calling tools, and learning from production data in Python on Kubernetes.
Senior Machine Learning Engineer
Build and deploy scalable ML pipelines on AWS for petabyte-scale data, focusing on MLOps, Terraform IaC, and CI/CD to support data science teams in a crypto and gaming media company.
Senior Machine Learning Engineer (Platform / MLOPs)
Build and scale an LLM platform, CI/CD pipelines, and Kubernetes-based infrastructure for ML services, ensuring reliability and real-time model serving.
Principal AI/ML Lead
Lead the design and deployment of AI/ML models for subsurface data analysis in the oil and gas sector, using Python, TensorFlow/PyTorch, and cloud platforms.
Postdoctoral Fellow in AI and Machine Learning for Photovoltaics
Research role developing AI/ML models to advance next-gen solar cell technologies, analyzing datasets and publishing findings in a university lab.
Robotics Computer Vision Engineer - Edge AI & Sensor Fusion
Design and implement computer vision pipelines for robotics systems, focusing on edge AI, sensor fusion, and real-world deployment performance.
Software Engineer - AI/ML
Build AI-powered cybersecurity tools: design LLM pipelines, retrieval systems, and MCP infrastructure to help security leaders assess risk with trustworthy, actionable insights.
Data Architect – AI, Machine Learning & Agentic AI
Design and architect scalable AI and machine learning platforms on Microsoft Azure, focusing on Agentic AI, ML optimisation, and intelligent edge solutions for enterprise clients.
Senior ML Engineer: AI Reasoning Data Trainer (Remote)
Senior ML Engineer trains AI models by creating reasoning traces for complex tasks, documenting planning and decision-making processes, and guiding LLMs through real-world decisions.
Data / ML Engineer
Build and own ML systems that forecast energy demand, detect faults, and drive dispatch decisions in real time, from data pipelines to production deployment.
Copy of Senior Machine Learning Engineer (Platform / MLOPs)
Build and scale the ML infrastructure that powers Nearmap’s aerial imagery AI products, including real-time model serving, distributed training, and LLM platforms on AWS/GCP.
Copy of Senior Machine Learning Engineer (Platform / MLOPs)
Build and scale the ML platform that powers Nearmap’s aerial imagery analytics and generative AI products, running on AWS/GCP with Kubernetes, Ray Serve, and GPU workloads.
Senior AI/ML Solutions Architect
Designs and builds enterprise AI/ML solutions using deep learning and GenAI, deploys scalable pipelines, and leads end-to-end projects from data assessment to production.