Top Machine Learning Jobs in Melbourne

As a Senior Machine Learning Engineer, you will advance AI efforts by designing and implementing scalable AI systems, mentoring ML engineers, and driving business value through AI integration.

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 Staff Software Engineer for Generative AI will design and implement large scale AI solutions, lead teams, influence stakeholders, and drive Gen AI transformation across the bank.

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 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.

Lead a team of ML Engineers to develop scalable AI systems, drive MLOps practices, and ensure responsible deployment of AI models. Foster growth, collaboration, and innovation within the team while aligning AI strategies with business objectives.

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 ML Ops Engineer will set up and support ML bot inference in live environments, implement CI/CD for ML solutions, and enhance ML inference logic.

The Senior Machine Learning Engineer will design, train, and deploy ML models for fraud detection and improved customer experience, collaborating across multiple teams to drive business growth and innovation.

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.

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.