Top Machine Learning Jobs in Sydney

The Senior Machine Learning/MLOps Engineer will lead the development and integration of machine learning models and data pipelines for autonomous systems. Responsibilities include managing the machine learning lifecycle, collaborating with cross-functional teams, and ensuring effective system integration and testing.

As a Senior Machine Learning Engineer at Rokt, you will collaborate with product managers and engineers to design, build, and productionise machine learning models for various business challenges. Key responsibilities include developing data processing pipelines, maintaining a high-quality codebase, and researching state-of-the-art deep learning models.

In this role, you will develop and deploy AI solutions for content review automation, work with stakeholders to manage project delivery, and foster a collaborative team culture. You'll also stay updated on industry trends to innovate and may lead and coach a team of engineers.

As a GenAI Architect, you will lead complex projects providing technical advice on ServiceNow's GenAI technologies, drive customer adoption, and deliver hands-on capabilities. Collaborate with teams to deploy solutions and stay updated on industry trends, contributing to documentation and thought leadership on GenAI improvements.

Work as a Machine Learning Engineer - Inference to optimize model structure and hardware utilization, collaborate with researchers and engineers, and enhance performance of deep learning libraries.

Develop and support libraries for accelerating training on a distributed environment, automating ML workflows, and leveraging GPU hardware. Evaluate and roll out third-party tooling and extend capabilities of open-source ML tools. Support the effective use of contested resources across a research team.

The Head of International Credit and Data Science will lead the analytics team, developing risk models and credit policies to drive underwriting strategies and innovative product launches in Latin America and South East Asia. The role focuses on leveraging data to enhance business growth and improve customer financial health, while adapting solutions for diverse markets.

As a Software Engineer on the ML Platform and Operations team, you will enhance machine learning architecture and operational processes, collaborate with data scientists, manage machine learning pipelines, implement best practices, and stay updated on technologies.