Top Machine Learning Jobs in Sydney

As a Principal Machine Learning Engineer, you will lead the development of scalable ML solutions focused on cost-efficiency. Your role involves creating machine learning algorithms, building ML pipelines, collaborating with cross-functional teams, and mentoring data engineers to drive business impact through AI.

In this role, you will co-own and deliver the AI/ML roadmap for the Content group, collaborating with product and engineering teams. You will work on the full lifecycle of ML/data models, facilitate ideation across teams, and advocate for AI adoption. Your focus will include building and deploying machine learning models and enhancing user experience through content-related projects.

As a Senior Machine Learning Engineer, you'll build and deploy machine learning models, enhance conversational AI capabilities, collaborate with engineers, and mentor team members. You'll focus on delivering engaging user experiences and contribute to defining the roadmap for conversational features.

As a Solutions Engineer at MiQ, you will engage with clients to understand their analytics needs, manage analytics projects, and collaborate with internal teams to deliver high-quality solutions. You will utilize your technical expertise to drive insights from unstructured data, present findings to stakeholders, and advocate for innovative product customizations.

As a Senior AI Engineer at Dovetail, you will lead the development of AI features, mentor junior engineers, drive AI enablement within teams, and influence product direction based on emerging technologies. You will ensure quality and performance improvements in machine learning systems while fostering pragmatism in software development practices.

The Machine Learning Engineer will design and manage distributed services for real-time customer support solutions, collaborate with teams on technical challenges, and ensure high-quality code through best practices. They will work closely with ML modelers to integrate new data sources and contribute to team growth through mentorship.

Principal Scientist/Machine Learning Engineer responsible for driving machine learning solutions from research to production. Design, implement and scale innovative ML solutions, work closely with cross-functional teams, keep up with emerging trends, and communicate technical concepts to stakeholders.

The Senior Machine Learning Engineer will build and maintain ML infrastructure, oversee the development and deployment of models, design system architectures, conduct rigorous evaluation experiments, and guide junior engineers, all while collaborating with diverse teams to communicate results effectively.

The Principal Software Engineer at Atlassian will tackle complex problems by delivering technical designs and architecture for Jira AI. Responsibilities include mentoring team members, ensuring data-driven feature development, and contributing to high-performance RESTful microservices while collaborating across engineering teams for company-wide initiatives.

As an MLOps Engineer at Eucalyptus, you'll operationalize AI and machine learning models, develop and automate pipelines, ensure model versioning, manage robust CI/CD deployments, and collaborate with various teams to optimize healthcare solutions. Your role will directly impact personalized patient care and support the integration of innovative technologies in healthcare.

You will build machine learning models to detect fraud in real time, analyze fraud patterns, collaborate with engineering and product teams, and mentor other modellers, requiring a high level of autonomy and responsibility.

The role involves designing and managing distributed services using machine learning to enhance customer support. Responsibilities include building automated solutions for customer problems, collaborating with teams across locations, maintaining high-quality code, and integrating various data sources and models to improve support experiences.

In this role, you will lead the development of AI and ML strategies to enhance customer support at Canva, design and deploy natural language processing systems, and collaborate with various teams to improve user experience through machine learning applications.

As a Senior Machine Learning Engineer at Canva, you will develop machine learning models, automate decision-making processes, and enhance marketing efforts through data-driven solutions. Collaborating with Product and Engineering Managers, you'll focus on product development and creative automation using advanced machine learning techniques.

As a Senior Machine Learning Engineer, you will lead the application of scientific principles to improve business processes, implement analytics tools, build machine learning models, and provide analytics leadership to align with business strategy. You will collaborate within an agile team and oversee model performance while ensuring robust software engineering practices are followed for data science solutions.

As an AI/ML Senior Consultant, you will solve complex problems for clients, develop custom models, and implement AI/ML solutions. You will work collaboratively, communicate with stakeholders, and ensure successful delivery through MLOps and agile practices, all while contributing thought leadership and growing your expertise.

The Senior AI/ML Engineer will design and implement AI/ML models to analyze blockchain data, collaborate with teams to integrate these models into Nansen's platform, mentor junior engineers, and apply innovative solutions to drive decision-making for crypto investors.