Top Machine Learning Jobs in Sydney

Lead and inspire a team of engineers, defining engineering best practices and managing data strategy alignment with company goals.

As a Senior Machine Learning Engineer, you will automate review processes using ML, develop intelligent recommendation systems, and optimize internal tools by collaborating with cross-functional teams.

As a Machine Learning Engineer, you'll develop distributed training pipelines and low-latency inference systems that handle large datasets and complex ML models. Collaborating with researchers and engineers, you'll optimize model performance using GPU acceleration and contribute to workflow efficiency in high-frequency trading environments.

As a Principal Machine Learning Engineer, you will lead AI and ML projects, mentor engineers, and solve complex architecture challenges to improve IT operations at Atlassian.

The Principal Applied Scientist/Machine Learning Engineer at Rokt will design, develop, and deploy advanced machine learning models to tackle complex business challenges, optimizing relevancy and user experience in the ecommerce sector. This role requires hands-on expertise in machine learning and collaboration with engineering and product teams.

The role involves building ML models for detecting fraud, collaborating with teams, and contributing to modeling capabilities within Cash App's Risk ML team.

Build machine learning models to detect fraud in real time, collaborate across teams, and enhance modeling capabilities at Cash App.

As a Staff Software Engineer, you'll lead the development of scalable full-stack applications, experimenting with UX ideas while ensuring high performance. You'll collaborate cross-functionally, mentor engineers, and manage technical projects, impacting Jasper’s AI platform significantly. This role balances rapid prototyping with long-term architectural vision.

You will develop an AI/ML strategy for customer support, lead ML system development, and collaborate on cross-organization machine learning projects.

The Lead Machine Learning Engineer will co-own and deliver the AI/ML roadmap, collaborate on machine learning projects, and advocate for AI/ML across teams in the Content group.

The Senior Software Engineer will discuss and research features, write code and documentation, and engage with the community on platforms like GitHub and Discord. Strong Python skills and excellent communication are essential.

Develop and deploy scalable AI models, optimize machine learning algorithms, collaborate with teams, and improve model performance within cloud environments.

Lead SafetyCulture's AI/ML strategy, transforming frontline work through innovative technology, data insights, and predictive modeling while building a high-performance team.

As a Senior Machine Learning Engineer at Prezzee, you will design, train, and deploy advanced machine learning models for fraud detection and customer experience enhancement. Collaborating with various teams, you will optimize performance, work with large datasets, and experiment with ML techniques, ensuring robust and scalable solutions.

As a Senior Machine Learning Consultant at DiUS, you'll work directly with clients to solve business problems using AI/ML technologies. Your role includes developing custom models, deploying them in cloud environments, and ensuring integration into broader solutions. You'll collaborate with a skilled team while leveraging your expertise in machine learning frameworks and practices.

As a Senior Machine Learning Engineer at Leonardo.Ai, you will develop and maintain MLOps pipelines, integrate cloud technologies, and optimize machine learning model deployment and monitoring. Collaborating with cross-functional teams, you'll ensure efficient workflows while driving innovation in AI product development.

As a Machine Learning Engineering Team Lead at Leonardo.Ai, you will mentor and lead a diverse team, define MLOps strategies, optimize AI deployability, oversee AWS infrastructure, develop scalable data pipelines, and implement monitoring for machine learning models. Your focus will be on creating an inclusive environment and driving impactful AI initiatives.