Build and deploy computer vision for agricultural robots at Kilter

About the role

We are looking for a Machine Learning Engineer to help develop the intelligence behind our agricultural robotics technology. You will work across machine learning, computer vision and software engineering to help AX-1 perceive and act in complex, real-world farm environments. From exploring data and training models to deploying and evaluating them on the robot, you will contribute hands-on throughout the development process.

What will you do as a Machine Learning Engineer at Kilter?

• Develop, train and evaluate machine learning and computer vision models for agricultural applications, including weed and crop detection
• Work with image and sensor data collected in real-world field conditions, helping to build reliable datasets and data pipelines
• Improve model performance, robustness and efficiency across varying crops, lighting, weather and operating conditions
• Deploy and integrate models into production software running on robotic systems
• Collaborate with robotics, software and product colleagues to turn customer and field needs into practical technical solutions
• Design experiments, define evaluation metrics and communicate findings to inform development priorities
• Monitor model performance and contribute to ongoing testing, debugging and improvement in the field
• Use agentic coding for rapid development and prototyping
• Help establish good engineering practices for machine learning development, testing, versioning and deployment

This role is for you if:

• You have professional experience developing and deploying machine learning models
• You have strong Python skills and experience with machine learning frameworks such as PyTorch or TensorFlow
• You understand computer vision concepts and have worked with image data and model evaluation
• You are comfortable taking work from an initial problem through experimentation, implementation and production deployment
• You communicate clearly and enjoy working closely with colleagues across different technical disciplines
• You are curious, practical and comfortable adapting as priorities evolve in a growing company
• You communicate clearly in English

Nice to have

• Experience with robotics, autonomous systems or deploying machine learning on edge devices
• Experience with object detection, image segmentation or other computer vision applications
• Knowledge of MLOps, data versioning, model monitoring or automated machine learning pipelines
• Experience working with agricultural, outdoor or otherwise variable real-world data
• Familiarity with C++, Linux, ROS or cloud infrastructure

Why should you choose Kilter?

Work on machine learning technology with a direct impact on sustainable food production. Help build and improve a real-world robotic product, from model development to field testing. Take ownership and see how your work contributes to a growing technology company. Collaborate with an engaged, multidisciplinary team in a flat and open environment. Room to grow as Kilter expands, alongside a competitive salary and an options programme.

If you are excited by applying machine learning to real-world challenges, enjoy collaborating with technical and creative colleagues, and want to help build technology for more sustainable agriculture, we would like to hear from you.