Top Machine Learning Jobs in Melbourne

As a Senior Data Scientist, you will develop machine learning models and predictive analytics to shape the growth strategy, enhancing customer acquisition, engagement, and retention for Airwallex.

The Lead Software Engineer will execute software solutions, develop high-quality code, enhance operational stability, and lead technology evaluations while fostering a diverse team culture.

The Staff Robotics Engineer leads the design and delivery of vehicle perception and planning capabilities, integrating systems for Anduril's autonomous platforms, ensuring customer success while collaborating with diverse teams and managing multi-stakeholder roadmaps.

Lead the Data Science team and projects utilizing AI technologies to generate insights, deliver robust machine learning solutions, and manage stakeholder relationships.

The Staff Software Engineer will develop APIs and microservices, mentor junior engineers, and enhance commercial lending user experience using agile methodologies.

As a Senior Software Engineer, you will design and build software for renewable energy optimization, collaborate with cross-functional teams, and ensure system performance.

Design and build ML infrastructure, influence data access and model deployment, partner with researchers to optimize ML models for trading, and mentor engineers.

The Reserve Engineer maintains and services robotic hardware, responds to failures at client sites, and ensures customer satisfaction. Responsibilities include learning hardware, communicating repairs, and assisting with deployment projects.

The Senior Data Scientist will lead the development of machine learning models, conduct data analysis, and collaborate with cross-functional teams to optimize services and tools at Mable.

As a Strategic Sales Director, you will lead sales efforts, develop relationships with key executives, and drive significant transactions in Australia.

This role involves leading the adoption of construction technology, managing change in planning processes, and working with major infrastructure clients in Australia and APAC region.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.

The AI Project Controls Consultant will engage with clients to maximize their value from nPlan's AI technology, ensuring excellent customer support and relationship management in the construction industry.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

As a Machine Learning Engineer, you'll build and deploy ML models, improve internal processes, and automate tasks to enhance customer support. You'll work with a small team to utilize data platforms for ML training and deployment.

The Senior Engineering Manager will lead multiple engineering squads using AI technologies, ensuring technical excellence and delivery success while fostering a collaborative environment.

The Data Scientist will develop predictive models and integrate various data types to enhance mineral exploration efforts, collaborating with engineers and geoscientists.

As a Senior ML Engineer at Zendesk, you will develop and deploy ML systems, build benchmarking frameworks, and ensure reliable GenAI infrastructure.

As a Senior Machine Learning Engineer, you'll develop and deploy computer vision systems that enable robots to understand human behavior, focusing on person identification, emotion recognition, and scene understanding. Responsibilities include building production pipelines, integrating AI systems, and establishing MLOps practices while collaborating closely with cross-functional teams.

As a Senior ML Engineer, you will operationalize ML models, design scalable MLOps infrastructure, build feature stores, automate workflows, and ensure model monitoring, collaborating with data scientists and engineers.

As a Machine Learning Engineer, you will implement and optimize decentralized training systems for AI models, focusing on distributed training, performance optimization, and deployment of sharded models.

As a Senior MLOps Engineer, you will enhance machine learning operations, drive architectural decisions, optimize CI/CD pipelines, and mentor junior engineers.

The role involves designing scalable AI solutions, developing ML models, creating recommender systems, and collaborating on data products in a team-focused environment.

The role involves designing and architecting AI solutions on the Snowflake AI Data Cloud, collaborating to ensure successful execution and customer adoption, and publishing technical content.

As an AI/ML Engineer, you will develop and optimize AI solutions for renewable energy assets, collaborating with a skilled team to deploy algorithms in real-world projects.