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.

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.

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.

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

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

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.

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

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.

The Strategic Account Director builds and maintains executive relationships with a key financial services account, ensuring H2O.ai is seen as a strategic partner by driving growth, commercial strategy, and customer success while developing a multi-year account plan.

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 Technical Product Manager at Neara coordinates multiple engineering teams to prioritize and deliver complex platform initiatives, ensuring alignment and execution discipline while managing competing demands and enhancing product quality.

This program offers PhD students hands-on experience in quantitative analysis, trading workshops, and connecting with industry experts, focusing on practical applications of their research in financial markets.

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.

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.

The Senior AI Engineer will develop high-reasoning, context-aware agents on GCP, focusing on intelligent automation for customer interactions, while guiding architectural decisions and mentoring.

The Solution Sales Executive will drive sales of FICO's platform in financial services, engaging with clients, managing relationships, and collaborating with internal teams to deliver solutions.

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.

The Lead Metallurgist will oversee mineral resource evaluation, ensure quality control, audit geometallurgical models, and provide technical leadership, focusing on optimizing mine operations through advanced modeling and collaboration with teams.

The Director of Business Development will lead business development and go-to-market initiatives in mining, leveraging industry connections to establish executive relationships and create opportunities for Stratum AI's solutions. Key responsibilities include market development, sales strategy creation, and pipeline development, targeting high-value clients and navigating complex sales environments.

The Lead Metallurgist will oversee resource evaluation, audit geometallurgy models, liaise with teams, ensure quality control, and mentor junior staff.

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