Top Machine Learning Jobs in Melbourne

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

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.

Develop and maintain scalable ML feature systems, collaborate with teams on ML infrastructure, drive architectural decisions, and mentor junior engineers.

Senior Robotics Engineers lead the development of autonomous vehicle perception and planning systems, collaborating with various engineering teams to implement advanced capabilities in Anduril products.

Staff Robotics Engineers lead the design and implementation of vehicle perception and planning systems for autonomous platforms, ensuring integration and success across diverse teams and technologies.

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 Data Scientist will design data analytics solutions for energy markets using Azure, lead a team, and communicate smart optimization strategies while leveraging AI and machine learning.

Lead marketing analytics strategy, build attribution frameworks, optimize predictive models, and deploy AI-driven insights for customer growth and marketing performance.

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

The Senior Product Manager will lead AI product strategy at CoinMarketCap, focusing on user needs and data analysis to drive product development.

As a Senior Machine Learning Engineer, you'll conduct applied research to enhance human-robot interaction, define research roadmaps, build ML experiments, and collaborate with teams on product integration.

Join the DXC Graduate Pre-Sales Consultant program focusing on AI projects. Support solution design, client engagement, and stay updated with AI technologies.

Lead a team of Data Scientists focused on credit decisioning, collaborate with leadership teams, and implement operational frameworks to scale.

Develop customer-facing automation solutions, contributing to design, coding, and troubleshooting, while collaborating with stakeholders on technical issues.

The Research Engineer role involves supporting ML training infrastructure, building tools, and managing varied engineering tasks. Candidates should demonstrate initiative and readiness to learn.

The Principal Product Manager leads product lifecycle management for brand safety solutions using ML/AI, ensuring effective collaboration and communication across teams.

As a Data Scientist, you'll develop machine learning models for candidate quality scoring, work on data transformation pipelines, and collaborate with cross-functional teams to enhance candidate-job matching.

Deliver compelling presentations and host discussions on emerging AI topics, engaging with senior leaders to translate AI concepts into strategic insights.

The General Manager will lead business development, forge strategic partnerships, and drive growth in the renewable energy sector, focusing on battery storage solutions.

Solution Consultant leading product demonstrations and strategic discussions for Workday's recruiting solutions, focusing on improving candidate experiences and aligning client goals with technology offerings.

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

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.

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