Top Machine Learning Jobs in Sydney

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.

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.

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.

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

As Principal Product Manager, you'll define and execute the strategic vision for AI quality, enhancing enterprise search and AI products through cross-functional collaboration and customer insights.

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.

The role involves deploying and supporting CrowdStrike's AI capabilities for threat detection and response, along with mentoring and customer engagement.

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.

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

As a Senior Product Manager, you will lead cross-functional initiatives, prioritize platform opportunities, enhance product roadmap, and drive customer discovery while mentoring product managers.

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.

Serve as the primary escalation for complex technical support issues for an AI/ML product. Manage high-volume, high-impact tickets, lead customer calls, reproduce and track bugs with Engineering/Product, mentor peers, improve documentation and playbooks, and surface patterns to drive product and operational improvements.

The Product Manager will focus on fraud prevention and response through AI and ML, manage product development and compliance, and enhance client relationships.

The Investment Manager will source AI investments, evaluate technical defensibility, run investment diligence, and support portfolio founders's AI strategies. Responsibilities include building relationships in the AI community and contributing to Airtree's internal AI tools.

Design and implement scalable AI/ML architectures using Databricks. Collaborate with teams to drive AI transformation, define use cases, and establish best practices.

This role leads enterprise-scale AI and Data transformation programs, acting as a trusted advisor to senior executives, and shaping data strategies and governance frameworks.

Lead data science and AI solutions for central banking challenges, mentor teams, and translate complex analytics into insights. Requires advanced technical leadership.

As a Senior Software Engineer, you'll design and implement features related to digital twins, data abstractions, and structural analysis, leveraging machine learning and algorithms.

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

As a Quantitative Researcher at Akuna, you will develop trading strategies using machine learning, analyze experiments, and build metrics for strategy evaluation.

Lead the design and implementation of scalable AI/ML platforms using Databricks, focusing on architecture, data ingestion, and MLOps frameworks. Collaborate with stakeholders to create production-ready AI solutions.