Lead ML Engineer - Predictive Agri Systems

Halter; Auckland; On-site; NZD 120,000 - 180,000; Full time

Job summary

Halter is hiring for an experienced machine learning role focused on building predictive systems for pasture and farming operations. You will own end‑to‑end ML pipelines, from data collection to deployment and monitoring, working with a talented team across engineering, product, and design.

The role requires deep ML expertise, strong Python experience, and the ability to translate research into practical agricultural applications. Office-first culture with a collaborative environment.

Qualifications

• Academic or professional background applying ML to real-world problems.
• Experience designing, deploying, and monitoring ML systems in production.
• Strong data intuition and ability to work with noisy, high-dimensional datasets.

Responsibilities

• Own end-to-end ML pipelines from data to deployment.
• Research literature and stay ahead in ML and pasture science.
• Design models and manage dataset construction and training.
• Support production systems and monitor behavior.
• Proactive innovation and cross-team collaboration.

Skills

Machine learning

Python

ML deployment

Data modelling

Education

Advanced degree in ML

PhD/ MSc in CS or Maths

Tools

Copilot

ChatGPT

Cursor

Claude-code

Job description

Halter is hiring for an experienced machine learning role focused on building predictive systems for pasture and farming operations. You will own end‑to‑end ML pipelines, from data collection to deployment and monitoring, working with a talented team across engineering, product, and design.

The role requires deep ML expertise, strong Python experience, and the ability to translate research into practical agricultural applications. Office-first culture with a collaborative environment.