Top Machine Learning Jobs in Sydney

Build machine learning models to detect fraud in real time, collaborate across teams, and enhance modeling capabilities at Cash App.

Manage NVIDIA's technical engagements in AI/ML applications, evangelize technologies, and influence developers and technical communities across Southeast Asia, Australia, and New Zealand.

Technical Consultants at Alteryx support enterprise solutions, advise on architecture, and guide customers in deploying Alteryx products, requiring cloud expertise and language skills.

As a Machine Learning Engineer, you will develop and optimize distributed training pipelines, improve real-time inference systems, and collaborate with researchers to enhance model performance and scalability.

As a Machine Learning intern, you will develop machine learning models and translate business problems into technical solutions, working within a multi-functional team.

As a Senior Machine Learning Engineer, you will advance AI efforts by designing and implementing scalable AI systems, mentoring ML engineers, and driving business value through AI integration.

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.

As a Software Engineering Intern, you will own and ship meaningful projects, receive mentorship, and collaborate with global teams to solve complex problems using various technologies.

Develop and monitor AI/ML models for analyzing blockchain data, collaborating with teams to enhance Nansen's platform and user experience. Mentor junior engineers and align AI initiatives with business goals.

Join Tricentis as a Machine Learning Engineer to design machine learning systems, embed them into .NET applications, and solve customer problems using AI/ML.

As a Machine Learning Engineer, you'll design, develop, and deploy ML models while collaborating with cross-functional teams to enhance data-driven solutions.

The Senior Machine Learning Engineer will develop and maintain AI models focusing on Computer Vision and Machine Learning, mentor junior team members, and collaborate with stakeholders to provide solutions.

As an MLOps Engineer, you'll operationalize AI models, collaborating with teams to create and maintain scalable pipelines and ensure model performance.

The Senior Machine Learning Developer designs and optimizes ML models for site planning tools, building scalable solutions and leading collaborative projects.

Develop and deploy scalable AI models, optimize machine learning algorithms, collaborate with teams, and improve model performance within cloud environments.

The Staff Machine Learning Engineer will build and maintain ML models, optimize data pipelines, lead MLOps practices, and collaborate with teams to deliver AI solutions.

The ML Ops Engineer will set up and support ML bot inference in live environments, implement CI/CD for ML solutions, and enhance ML inference logic.