Top Machine Learning Jobs in Sydney

As a Senior Data Scientist, you will develop predictive models, apply machine learning techniques, and collaborate with various teams to drive customer engagement and retention strategies.

11-week PhD internship conducting quantitative research: develop and test statistical trading models, translate algorithms into code, backtest and implement signals, and use unconventional data for trading strategy innovation.

11-week PhD internship developing, back-testing and implementing quantitative trading strategies. Build and improve mathematical models, translate algorithms into code, analyze unconventional data sources, and deploy signals in live trading while collaborating with senior researchers.

Lead the design and development of machine learning models for autonomous systems, managing data pipelines, model lifecycle, and collaborating with engineering teams.

Work as a quantitative trader using advanced analytics and technology to monitor markets, manage risk, and execute trading strategies. Requires system thinking and quantitative problem-solving.

As a Software Engineer Intern, you'll create tools for trading strategies, develop research platforms, and collaborate in small teams.

The Manager, ML Engagement Management leads AI deployment processes, technical workshops, and drives customer engagement while ensuring project success and process improvements.

Develop and implement automated trading system software solutions in partnership with Quantitative Researchers, focusing on software design, development, and deployment.

The Options Researcher will drive improvements in volatility trading through quantitative research and collaboration in a fast-paced trading environment.

Robotics Engineers at Anduril develop autonomous vehicle perception and planning capabilities, focusing on system integration, algorithm validation, and collaboration with cross-functional teams, ensuring the advancement of military technology.

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.

Build and deploy machine learning and predictive models to solve product and growth problems. Translate business problems into technical solutions and deliver reliable, low-bug software artifacts. Collaborate with cross-functional partners on feature engineering, experimentation, and data pipelines to create measurable product value.

As Head of Data Product, lead strategy for Consumer Brands, manage data product roadmaps, and drive integration of AI and Machine Learning initiatives.

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

As a Senior Machine Learning Engineer, develop ML models to digitize infrastructure from varied data sources while optimizing training pipelines and mentoring junior engineers.

Develop next-gen quantum magnetometers, enhancing their sensitivity and robustness using quantum control algorithms, statistical techniques, and digital signal processing.

This role involves research and development on quantum sensors, creating control solutions and sensor fusion algorithms, analyzing performance, and collaborating with teams to push boundaries in quantum technology.

The Customer Value Architect drives adoption and value validation of Neara's platform by assessing client operations, analyzing workflows, and presenting actionable insights to improve organizational performance.

The role involves driving new enterprise sales, managing customer discussions about AI solutions, and closing $500k+ deals while collaborating with sales teams.

The role involves driving net-new sales and recurring revenue for IFS's AI solutions, engaging with executives, and leveraging industry expertise to close large enterprise AI deals.

The Customer Success Engineer will act as a technical resource for enterprise customers, driving platform adoption and delivering quantifiable ROI through effective client engagement and support.

As a Customer Value Architect, you'll enhance customer engagement by translating software capabilities into measurable outcomes while fostering strong client relationships and driving product adoption.

Develop trading strategies using statistical and machine learning algorithms, optimize low latency strategies, and analyze market behavior at Akuna Capital.

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.