Top Machine Learning Jobs in Sydney

The role involves developing deep learning models for computer vision applications, collaborating with a team, optimizing models, and ensuring code quality.

As a Machine Learning Engineer, you'll develop and evaluate models, build ML systems, and collaborate on generative AI features. You'll work with GPUs, maintain pipelines, and support system reliability while improving model performance.

Lead AI/ML initiatives by identifying opportunities, owning projects from concept to deployment, mentoring teams, and pioneering advanced AI applications.

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

As a Machine Learning Engineer, you will design, build, and operate ML infrastructure, develop tools for the ML lifecycle, collaborate with teams, and drive best practices in MLOps.

The Machine Learning Engineer will design and develop LLM-based products utilizing Earth Observation data, integrating models into complex workflows and collaborating closely with data scientists.

As a Software Engineer, you'll enhance the user experience of ML tools, optimize workflows, and collaborate with product managers on ML infrastructure projects.

Lead design and implementation of MLOps pipelines and AI systems, manage ML teams, and ensure operational integrity for machine learning systems.

As an AI/ML Engineer, you will develop and optimize AI solutions for renewable energy assets, collaborating with a skilled team to deploy algorithms in real-world projects.