Top Machine Learning Jobs in New Zealand

As a Junior Data Scientist, you will build models to predict hardware failures, analyze performance, and provide insights to support decision-making and cross-functional collaboration.

Own an end-to-end product domain: discover high-impact customer problems, define value, and deliver hardware, firmware and software solutions. Lead continuous discovery with engineering and design, engage directly with farmers, set priorities and strategy, leverage AI/automation, and communicate product vision to stakeholders.

The Head of Fraud Risk Strategy will lead the fraud risk strategy for credit cards and unsecured lending, focusing on account origins, first party fraud, and payment fraud while collaborating with cross-functional teams to optimize customer experiences and mitigate risks.

Design and maintain scalable ML pipelines, build model serving infrastructure, implement MLOps practices, manage data quality, and optimize model performance.

Develop end-to-end machine learning pipelines and advanced models for pasture growth, biomass estimation, and farm operations. Conduct research and literature reviews, design datasets and architectures, deploy and monitor production systems, and collaborate with engineering, product and design to deliver farmer-facing insights and recommendations.

The Spacecraft Operations Intern will assist the team in enhancing ground software with AI, gain hands-on experience across spacecraft operations, and support various mission phases from commissioning to re-entry. The role involves collaboration with design, integration, testing, and software teams to maintain spacecraft health and meet mission objectives.

The role involves presenting Workday's architecture, leading technical discussions, creating architecture designs, and demonstrating technology to stakeholders.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.

The role focuses on MLOps, collaborating with teams to build ML systems, maintain scalable infrastructure, and ensure model reliability. Responsibilities include developing tools, managing cloud costs, and supporting data scientists in ML implementation.

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.

Own end-to-end ML projects focused on recommendation and LTV signals: develop, evaluate, and deploy models; build training/scoring pipelines; run A/B tests; monitor production models; collaborate with product and analytics; mentor colleagues.

As a Robotics Machine Learning Engineer, you will build data pipelines, run demos, and ensure customer satisfaction while evolving product features based on client needs.

The Senior Machine Learning Engineer will design, train, and deploy ML models for optimizing revenue in advertising, taking ownership of product development and leading the ML discipline.

As a Senior Machine Learning Engineer, you'll manage the ML lifecycle, develop ML models, collaborate with teams, and optimize systems for production deployment.

As a Machine Learning Engineer, develop ML models for computer vision, integrate with products, manage data and experiments, and work on end-to-end ML operations.

As a Software Engineer, you'll enhance the user experience of ML tools, optimize workflows, and collaborate with product managers on ML infrastructure projects.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.