Top Machine Learning Jobs in Melbourne

The Advisory Solution Consultant will collaborate with sales teams, lead customer discovery, provide AI solutions, and facilitate technical workshops to drive sales and improve employee experiences using Moveworks' platform.

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.

Lead the AI product team to innovate financial services, managing AI features and automation to enhance customer experience and efficiency.

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.

The Research Scientist will tackle advanced research problems in Protocol Learning, publish findings, and work collaboratively in a distributed model training environment.

Lead the design and delivery of AI solutions, guiding junior engineers while managing full-stack development and ensuring secure production environments.

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.

The Machine Learning Engineer will develop and optimize large-scale ML models, build low-latency inference pipelines, and collaborate with teams to enhance performance and automate ML processes.

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 the Data Products portfolio, focusing on customer engagement and commercial outcomes through data insights and collaboration with engineers and scientists.

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

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

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

As a Staff Machine Learning Engineer, you'll design and operate AI infrastructure, focusing on MLOps practices, security, and collaboration with data scientists to deliver scalable AI features.

Design and implement robust, large-scale distributed ML training systems optimized for low-bandwidth, high-latency environments. Build model-parallel training strategies, checkpointing and recovery, GPU and memory optimizations, P2P networking, NAT traversal, and monitoring to ensure resilient, efficient multi-participant training.

The role involves designing, building, and scaling ML/RL systems that enhance customer experience while ensuring reliability and efficiency in production. Responsibilities include model optimization, deployment, and monitoring for performance improvements.

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.