Top Machine Learning Jobs in Sydney

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.

Citadel Securities is inviting university graduates to express their interest for upcoming graduate opportunities in Quantitative Trading, Research, and Engineering.

The Principal Program Manager oversees large-scale people and experience programs, managing the delivery lifecycle, fostering relationships, and driving transformations at Atlassian.

Responsible for developing trading strategies and predictive models using machine learning and conducting large scale data analysis for market predictions.

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

The Lead AI Solutions Consultant will represent Braze's products, lead technical discussions, execute demos, and develop consultative relationships with enterprise customers, while also serving as a thought leader in AI and engaging in cross-functional collaboration.

Develop high-frequency trading strategies using machine learning, conduct large scale data analyses, and collaborate with cross-functional teams.

Develop high to mid frequency delta one trading strategies, perform large scale data analysis for market predictions, and mentor junior staff.

The Machine Learning Engineer will focus on translating academic insights into scalable ML products and building reliable ML systems while collaborating with engineers and product teams to drive business impact.

As an Associate, you will interpret guidelines for compliance monitoring, conduct root-cause analysis of investment exceptions, and ensure the accuracy of regulatory reports, while collaborating with clients on compliance solutions.

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.

The Senior Data Scientist will design and develop predictive models, manage large datasets, and communicate analytical findings to stakeholders while guiding junior team members.

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

Lead consulting initiatives in Mining, Minerals, and Cement industries, driving digital transformation solutions with a focus on business development and client delivery.

The AI Lead, Infrastructure + Energy will integrate and scale AI solutions, drive innovation, and align business objectives with AI strategy to maximize value. Responsibilities include leading AI strategy, fostering innovation, and developing capabilities across the organization.

As a Senior Software Engineer, you will design and implement features focused on digital twins, API development, and engineering simulations. You'll enhance algorithms, improve monitoring, and create tools for efficient data extraction and network design viability assessments.

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.

The Customer Technology Advisor will leverage technical expertise in Data and AI to enhance customer relations, design solutions, and lead pre-sales processes, ensuring alignment with client needs and Kyndryl standards.

The Technology Risk Manager will develop risk frameworks, embed risk practices, report on risk to management, and lead controls automation in a financial services context.

The AI Deployment Manager will lead strategic implementations of AI solutions, ensuring customer satisfaction through exceptional onboarding and change management to drive adoption and measurable success.

Design and manage large-scale SaaS and cloud services, providing technical leadership and improving engineering practices, with a focus on user experience.

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