Top Machine Learning Jobs in Sydney

Support development and backtesting of quantitative trading strategies: translate models to code, analyze data (including unconventional sources), and implement/monitor trading signals in live environments under senior mentorship.

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

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

The Global Business Excellence Lead oversees a team to improve commercial performance through insights, tools, and best practices, requiring strong analytics and collaboration.

Design, develop, and deploy software solutions for automated trading systems while collaborating with researchers on technology priorities.

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

Lead and conduct cutting-edge ML research in Code LLMs, Reasoning Models, Agentic Systems, and Reinforcement Learning. Publish top-tier papers, collaborate with engineering teams to translate research into database product solutions, and mentor intern researchers.

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.

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

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

As AI Enablement Lead, you will design and deliver training programs for financial institutions, ensuring effective AI adoption. You will create enablement assets, lead workshops, measure adoption metrics, and build AI communities within client organizations.

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 Manager of Cybersecurity Products will drive growth by developing strategies, managing the product portfolio, and executing product enhancements across the ANZ region.

The Developer Relations Lead will bridge Pluralis's research and the ML community, creating accessible content and engaging with researchers. Responsibilities include producing technical materials, enhancing contributor experiences, and representing Pluralis at conferences.

Lead the digitisation and productisation of Nine's media archive: define strategy and roadmap, drive discovery and monetisation, partner with Engineering and Data Science for AI-powered solutions, own data/experimentation strategy, and align stakeholders through presentations and collaboration.

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 Sales Director will lead a team focused on growing Databricks' business within Australia's telecommunications sector, implementing growth strategies and building executive relationships.

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.

The Engagement Manager will oversee customer relationships, driving utilization of BioCatch solutions, managing projects, and working with various teams to enhance customer outcomes.

The Senior Data Scientist will enhance survey operations, analyze data quality, run experiments, and collaborate with cross-functional teams to solve business problems using advanced data science techniques.

As a Data Scientist at Tracksuit, you will scale survey operations, apply statistical techniques, build data quality systems, and collaborate with product teams to develop brand measurement solutions.

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