Top Machine Learning Jobs in Melbourne

Lead design and implementation of algorithms for autonomous vehicles, utilizing machine learning and advanced sensors. Collaborate with teams to ensure system integration and testing.

Lead the design and strategy for a flagship banking project, delivering full-stack solutions with a focus on front-end development using Next.js and backend services using .NET. Mentors engineers and ensures high-quality, maintainable software solutions.

As Staff Software Engineer, you will lead technical strategy for the Merchant Modernisation Project, focusing on full-stack solutions, mentoring engineers, and collaborating with stakeholders on tech direction and integration strategies.

The Senior Solution Architect will oversee technical strategy and delivery for IoT projects, engage with clients, and lead teams in solution development for digital transformation and analytics.

The Research Engineer develops models and prototypes using AI, ML, and optimization to solve supply chain problems and quantify business value.

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

The Emerging Technology TD researches, develops, and implements new technologies for VFX production, focusing on AI and VFX-related workflows.

The Reserve Engineer maintains and repairs robotic hardware, provides customer service, collaborates with teams, and assists in robotics deployment.

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.

As a Senior Backend Developer, you will design, develop, and maintain backend systems for AI solutions, manage data integration, and implement security measures.

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.

Develop, test, and maintain software applications; integrate AI/ML tools, collaborate with teams, and ensure quality standards in a cloud-based environment.

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.

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

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.

Lead the design and maintenance of ML infrastructure and automation solutions while collaborating with data scientists and mentoring junior engineers.

As a Software Engineer (AI), you'll develop applications that utilize machine learning, particularly integrating large language models, while collaborating with backend and ML teams.