Top Machine Learning Jobs in Melbourne

As a Full-Stack Product Engineer, you will design and implement user and developer tools, collaborate with teams, and improve AI-powered development tools.

The Software Engineer will build and maintain a search engine product, enhance existing code, and ensure robust application development.

The Asset Performance Engineer manages client relationships, optimizing renewable energy asset performance using Fluence Digital’s software solutions, and provides technical support and training.

The Senior Machine Learning Developer designs and optimizes ML models for site planning tools, building scalable solutions and leading collaborative projects.

Develop and deploy scalable AI models, optimize ML algorithms, and collaborate with teams to integrate AI solutions into production systems.

The Staff Machine Learning Engineer will build, deploy, and maintain machine learning models, optimize data pipelines, and drive MLOps best practices while collaborating with cross-functional teams and mentoring others.

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.

The Solutions Architect will design and deploy AI/ML solutions using Snowflake, collaborating with customers and guiding teams in data science lifecycle and MLOps best practices.

As a Senior Machine Learning Engineer, you will develop MLOps pipelines, manage cloud infrastructure, optimize model deployment, and collaborate across teams to enhance AI products.

Work with product managers to enhance ML workflows and tools. Drive improvements in DVC's entry point and optimize ML practices.

As a software engineer, you'll develop end-to-end data analytics and ML solutions, working with open-source tools and collaborating remotely with global teams.

Develop and monitor AI/ML models for analyzing blockchain data, collaborating with teams to enhance Nansen's platform and user experience. Mentor junior engineers and align AI initiatives with business goals.

As a Senior Machine Learning Engineer, you will develop and optimize AI-driven solutions, collaborate with teams, and implement machine learning models and pipelines.

Join Tricentis as a Machine Learning Engineer to design machine learning systems, embed them into .NET applications, and solve customer problems using AI/ML.

As a Machine Learning Engineer, you'll design, develop, and deploy ML models while collaborating with cross-functional teams to enhance data-driven solutions.

As a Senior Machine Learning Engineer, you will build and optimize MLOps pipelines, integrate cloud services, automate data workflows, and deploy machine learning models, collaborating with diverse teams to enhance AI product development.

Assist in pioneering research in AI and ML at Sahara AI, focusing on innovative model development and collaboration with tech leaders.