Top Machine Learning Jobs in New Zealand

The Machine Learning Engineer will develop predictive models and systems for pasture management, requiring expertise in ML and agricultural knowledge.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

Lead and develop a global Site Reliability Engineering (SRE) team, ensuring system reliability and performance while driving strategic initiatives and fostering collaboration.

Design and maintain scalable ML pipelines, build infrastructure for model serving, implement MLOps, and collaborate with data scientists to optimize models.

Seeking a Senior Product Manager to enhance card payment orchestration for improved approval rates and cost efficiency, driving collaboration across departments for global expansion.

The Fraud Risk Manager will design and oversee UR's fraud prevention program, manage fraud monitoring, investigations, and implement a governance model. Responsibilities include optimizing recovery workflows, maintaining compliance documentation, and reporting insights to stakeholders.

Develop and design learning paths and courses in various technical domains, authoring materials and assessments while collaborating with team members.

Develop AI solutions and integrate them with mechatronic systems, conduct testing, and collaborate with teams on hardware-software projects.

Lead Demand and Supply Planning functions, optimizing the S&OP process, inventory management, and forecasting accuracy while fostering collaboration across departments.

The Senior Product Manager will lead AI product strategy at CoinMarketCap, focusing on user needs and data analysis to drive product development.

Lead ML engineering initiatives, design robust ML systems, manage project timelines, enhance product features, and ensure smooth delivery of production-ready models.

Lead a team of Data Scientists focused on credit decisioning, collaborate with leadership teams, and implement operational frameworks to scale.

The intern will design and code AI platforms for training and service, and integrate AI capabilities into gaming through ML Ops processes.

The Customer Support Engineer assists customers in adopting the Anyscale platform, troubleshooting issues, and collaborating with engineering teams to enhance product experience.

As a Consulting Manager, you will lead digital transformation for clients in CPG, Mining, and Manufacturing, focusing on innovation, strategy, and technology implementation.

The Research Engineer will develop models and prototypes in AI, ML, and optimization, assist in product analysis and specification writing.

Lead the development and improvement of ML models for vegetation intelligence, ensuring accuracy, scalability, and meaningful insights for customers. Collaborate with ML engineers and data scientists to enhance model performance and manage the full ML lifecycle.

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

Anyscale seeks an Enterprise Account Executive to build enterprise client relationships, achieve sales goals, and manage accounts while selling ML cloud solutions.

The intern will assist in integrating AI technologies into gaming, conduct market research, and design innovative applications of AI agents.

The AI Data Specialist role involves data collection, evaluation, annotation, and tagging across various content types while maintaining English proficiency.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

The Research Engineer develops AI and ML models and prototypes to solve supply chain issues, collaborate with product managers, and document specifications.

Lead a cross-functional team to develop and implement AI products, focusing on Large Language Models and enhancing client solutions.

The Machine Learning Engineer develops AI solutions, manages data, and trains staff across Rocket Lab, aiming to leverage AI effectively.