Top Machine Learning Jobs in Melbourne

As a Machine Learning Engineer at Block, you will build AI-powered solutions, collaborate with teams, mentor engineers, and drive system improvements while focusing on customer needs.

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.

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.

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.

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

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.

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.

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

Lead and mentor a remote engineering team for Cashalo, driving performance, improving delivery processes, and collaborating with leadership on strategic initiatives.

The Principal Solutions Architect will design end-to-end architectural solutions, lead cross-entity projects, and collaborate with teams to enhance technology solutions and business models.

The Fraud Risk Manager will design and oversee UR's fraud prevention program, manage fraud monitoring, investigations, and implement a governance model. Responsibilities include optimizing recovery workflows, maintaining compliance documentation, and reporting insights to stakeholders.

Develop and design learning paths and courses in various technical domains, authoring materials and assessments while collaborating with team members.

The Sales Account Executive will drive revenue growth by selling AspenTech software and services, managing accounts, and building relationships in the Mining sector.

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.

Lead the development and deployment of AI and ML solutions, oversee MLOps strategy, and collaborate with data scientists to enhance data-driven products.

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

Develop and optimize machine learning models in a client-facing role. Collaborate with data scientists and key stakeholders to drive machine learning projects from ideation to production, implementing complex ML algorithms and managing the development lifecycle using MLOps principles.

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

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

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

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