Top Machine Learning Jobs in Sydney

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Bridge research and production by hardening experimental models, optimizing PyTorch training and inference across GPUs, building shared libraries and inference services, improving distributed training and storage workflows, establishing CI/CD and rollout frameworks, and adding observability and reliability to ML systems so research can ship safely and at scale.

Lead design and operation of Neara's ML platform: roadmap for training pipelines, distributed compute, model serving, experiment management, and monitoring. Build tooling to accelerate research-to-production, optimise performance (including custom CUDA/sparse tensors), and enable scalable, secure deployments across cloud and on‑prem environments while mentoring ML engineers.

Design, train, and deploy machine learning models to improve customer experience and prevent fraud. Work with large datasets, optimize model performance, ensure scalable real-time production deployments, and collaborate cross-functionally with fraud, product, and engineering teams while advancing MLOps practices.

As a Machine Learning Engineer, develop ML models for computer vision, integrate with products, manage data and experiments, and work on end-to-end ML operations.

Ship applied research to improve conversational voice AI: fine-tune and evaluate LLMs for real-time phone workflows, build evaluation frameworks, analyze production conversations, curate and generate training data, investigate regressions, and collaborate with engineering to deploy robust, low-latency models.

The Senior Machine Learning Engineer will design, train, and deploy ML models for optimizing revenue in advertising, taking ownership of product development and leading the ML discipline.