Top Machine Learning Jobs in Melbourne

In this role, you will develop, deploy, and optimize machine learning solutions, collaborating with teams to drive business value. Responsibilities include designing ML models, integrating them into production, optimizing systems, and continually improving processes with new tools and frameworks.

Join Tricentis' AI and Machine Learning team as a Machine Learning Engineer. Responsibilities include designing machine learning systems, data gathering, and integrating solutions into .NET applications. Candidates should have expertise in Pytorch and Tensorflow, a MASTERS or PHD in relevant fields, and a solid understanding of statistical and deep learning concepts.

As a Machine Learning Engineer at nib Group, you will develop, integrate, and deploy innovative machine learning models while collaborating with cross-functional teams. Your role will involve software engineering, model monitoring, and maintenance, ensuring seamless data pipelines, and enhancing the Intelligent Document Processing solution.

The AI/ML Engineer will develop and deploy scalable AI models, focusing on NLP, computer vision, and predictive analytics. Responsibilities include designing ML pipelines, optimizing models, and integrating AI solutions into production systems while collaborating with cross-functional teams.

As an ML Ops Engineer, you will set up and support ML bot inference, build scalable clusters, establish CI/CD for ML solutions, and improve inference logic for machine learning tasks.

As an AI/Machine Learning Engineer, you will design and implement applications centered around Generative AI, deploying large language models in cloud environments and collaborating with cloud architects and developers. Proficiency in Python is essential, alongside knowledge of cloud AI services and machine learning frameworks. You will also address customer problems and present your work effectively.

As a Software (ML Product) Engineer, you will enhance the user experience of ML tools by optimizing workflows and processes. You will collaborate with technical product managers, contribute to defining efficient ML practices, and improve DVC, an open-source tool for machine learning. A strong background in deep learning and system design is necessary to transform current workflows and engage with the ML community.

Senior Machine Learning Engineer role at Kayzen, revolutionizing AdTech with machine learning. Responsible for accelerating experimentation and deployment, robust model monitoring, collaborating with data scientists, productionizing pipelines, driving innovation, and championing software engineering best practices.

As a Software Engineer focused on Data, AI/ML, and Analytics at Canonical, you will collaborate on developing end-to-end data analytics and machine learning solutions. Your responsibilities include designing and maintaining solutions for both public/private clouds, working with open-source tools, and engaging with a distributed team.