Top Machine Learning Jobs in Sydney

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 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.

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.

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.

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.

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.

As a Senior Machine Learning Systems Engineer, you will lead ML project implementations, collaborate with teams, and mentor juniors while developing end-to-end ML systems.

As a Senior Machine Learning System Engineer, you will develop infrastructure for machine learning, collaborate with product teams, and mentor juniors. You'll lead projects from design to launch, focusing on scalable ML systems and kernels.

As a Principal Machine Learning Systems Engineer, you'll lead cross-functional teams to deliver ML-powered solutions for search functionality, tackle complex engineering challenges, and mentor junior engineers while overseeing the deployment of ML solutions.

As a Senior ML System Engineer, you'll develop AI infrastructure, collaborate on ML solutions, lead projects, and mentor team members.

The Lead Software Engineer will execute software solutions, develop high-quality code, enhance operational stability, and lead technology evaluations while fostering a diverse team culture.

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.

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

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.

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

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.

Research Interns will engage in applied research for Generative AI, assist in dataset development, model evaluation experiments, and contribute to publications and internal documentation.

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