Lead Machine Learning Engineer

The role

You will drive the development of predictive systems to solve real-world challenges for farmers. This involves end-to-end machine learning pipeline development, from architectural design and dataset construction to deployment and monitoring.

What you will do

• Drive development of predictive systems to solve real-world challenges faced by farmers.
• Conduct extensive literature reviews in technical and agriculture fields.
• Stay ahead of the curve in machine-learning systems and pasture science.
• Own architectural design and all phases of model development including design, dataset construction, training and optimization.
• Support work in production and learn from system behavior in the field.
• Exercise creativity to proactively deliver innovative ideas.

Required qualifications

• Deep academic and/or professional background applying machine learning to solve real-world problems.
• Research oriented postgraduate degree in mathematics or computer science with relevance to modelling with deep neural networks.
• Demonstrated experience designing, deploying, and monitoring machine learning systems to production.
• Strong causal reasoning and ability to design models that reflect real-world dynamics.
• Strong data intuition and ability to work with noisy, high volume, high-dimensional datasets.
• Fluency in Python.
• Experience contributing to or working on complex, collaborative codebases.
• Proficiency in contemporary AI companions and tooling for software and engineering productivity (e.g., Copilot, ChatGPT, Cursor, Claude-code).
• Excellent communication skills.
• Collaborative working style across disciplines.

Nice to have

• Experience in advanced ML architectures (Transformers or SSM).
• Experience in agent-based systems.
• Experience in recommendation systems.

Benefits

• Personal growth fund.

Before you apply

• Send a cover letter explaining why you are excited about this role and working at Halter along with your CV.

About the company

Halter enables farmers and graziers to run productive and sustainable operations. The company is backed by Tier 1 investors including Founders Fund and Blackbird.