Top Machine Learning Jobs in Sydney

Lead a team of applied scientists to develop and deploy advanced machine learning models for improving e-commerce systems at Rokt. Responsibilities include research, model performance evaluation, and cross-functional collaboration.

Design, build, and productionize machine learning models to solve business challenges, collaborating with product and engineering teams.

As a Software Engineer at Rokt, you'll design AI-powered ecommerce solutions, optimize ML training pipelines, and collaborate across teams to enhance user experiences.

As a Machine Learning Engineer at Rokt, you'll develop scalable ML models, collaborate with teams, and drive business outcomes through AI-driven solutions.

As a Software Engineer Intern, you'll develop trading technology, high-performance platforms, and collaborate with teams to innovate in finance.

The Machine Learning Engineer will develop and optimize large-scale ML models, focusing on real-time inference and distributed training in a high-performance trading environment.

The role involves developing quantum magnetometers, performing data analysis, and implementing noise compensation techniques using signal processing and machine learning.

The Principal Machine Learning Engineer will tackle complex problems, collaborate across teams, mentor juniors, and lead code deliveries in Jira AI.

The Machine Learning Engineer will develop ML systems, focusing on distributed training, low-latency inference pipelines, and collaboration with researchers to enhance trading strategies.

The Senior Software Engineer will discuss and research features, write code and documentation, and engage with the community on platforms like GitHub and Discord. Strong Python skills and excellent communication are essential.

The Senior Solution Architect will oversee technical strategy and delivery for IoT projects, engage with clients, and lead teams in solution development for digital transformation and analytics.

As a Senior Backend Developer, you will design, develop, and maintain backend systems for AI solutions, manage data integration, and implement security measures.

The AI Prompt and Quality Engineer is responsible for monitoring AI Chatbot responses, resolving quality issues, tuning models, analyzing data, and improving processes.

The Research Engineer develops models and prototypes using AI, ML, and optimization to solve supply chain problems and quantify business value.

The Senior Account Manager leads developer relations with ISV and service providers, promoting NVIDIA’s GPU solutions, facilitating integrations, and driving project requirements in AI workflows.

As a Software Engineer (AI), you'll develop applications that utilize machine learning, particularly integrating large language models, while collaborating with backend and ML teams.

The MLOps Engineer will operationalize ML and AI solutions, manage ML pipelines, implement CI/CD processes, monitor deployed models, and collaborate with teams to integrate AI products.

Design, build, and productionise machine learning solutions using Python and PyTorch. Collaborate on projects, improve ML delivery, and uphold an engineering culture.

You will design and implement ML pipelines, automate testing, monitor model performance, and contribute to research and new use cases.

Develop, test, and maintain software applications; integrate AI/ML tools, collaborate with teams, and ensure quality standards in a cloud-based environment.

As a software engineer, you'll develop end-to-end data analytics and ML solutions, working with open-source tools and collaborating remotely with global teams.

Work with product managers to enhance ML workflows and tools. Drive improvements in DVC's entry point and optimize ML practices.

The Senior Machine Learning Engineer will focus on building scalable backend services and optimizing systems that support machine learning data workflows, while mentoring peers and collaborating with data scientists.