Top Machine Learning Jobs in New Zealand

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 Director of AI Engineering will lead AI capabilities, including development and evaluation of AI systems, while managing a team and collaborating with cross-functional departments.

The role involves conducting impactful research in behavioural information systems, delivering exceptional teaching for undergraduate and postgraduate courses, and supervising graduate research students. A strong publication record and curriculum development experience are required.

As a Product Owner, you will manage the product backlog, prioritize features, lead cross-functional teams, and ensure data-driven digital solutions that deliver value.

Lead technical direction for ML infrastructure and services, build scalable, reliable AI systems, bridge research and production, mentor engineers, set engineering standards, and deliver LLM-powered and real-time AI features used by millions.

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

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.

Dragonfly is seeking Software Engineers for various portfolio companies, focusing on crypto technologies. Engineers of all experience levels are needed across multiple stacks.

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

Lead horizon scanning and external intelligence to identify AI and disruptive tech opportunities for R&D. Translate trends into actionable briefs, design and run pilots with stage-gates, and scale successful capabilities into production. Influence senior leadership with strategic foresight, build external partnerships, and embed a future-back innovation culture across cross-functional teams to measurably improve R&D outcomes.

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.

The Account Executive will find, win, and grow new customers in the AI/ML sector, managing complex sales cycles and relationships with stakeholders.

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.

Design, develop, and deploy custom ML models and transformer-based NLP systems. Build and maintain ML pipelines, fine-tune LLMs, implement RAG, monitor production performance, research new techniques, and mentor junior engineers.

Build and ship end-to-end applied ML and algorithmic solutions for vehicle and parts problems. Develop a foundational model, design robust evaluation and gold datasets, consider production constraints (latency, scale, observability), and partner with product and engineering to deploy reliable, measurable systems that improve over time.