AI Vision and Automation Engineer (KTP Associate)

Harper Adams; Newport; On-site; GBP 32,000 - 42,000; Full time

Benefits offered by this job

Academic supervision

Full-time 24-month position

Job summary

Karsten UK Limited in Newport is seeking an Associate to develop an AI-driven vision and quality sorting capability for its Newport facility. You will build DEM simulations, generate synthetic data, and train AI models to achieve high accuracy, integrating them with the Fanuc Delta robot controller for automated pick-and-place sorting.

The role combines AI model development, simulation data generation, robotics integration, and practical engineering delivery within a food processing context,

Qualifications

• Degree in CS/Robotics/Engineering required.
• Experience in AI, ML or computer vision.
• Proficient in Python and/or MATLAB.
• Strong communication and project management skills.

Responsibilities

• Develop AI/vision models and integrate with production hardware.
• Create and run DEM simulations to model fruit dynamics.
• Generate synthetic training data for model training.
• Train AI classifiers to meet target accuracy and deploy with robot controller.
• Collaborate with Karsten UK Limited site team and Harper Adams University supervisor.

Skills

AI/ML development

Python

MATLAB

Communication

Project management

Education

Bachelor's degree in CS/Robotics/Engineering

MSc/PhD desirable

Tools

DEM simulation software

Photorealistic rendering tools

Robotics integration

Job description

Location: Karsten UK Limited, Suite 3, Nova House, Audley Avenue Enterprise Park, Newport, Shropshire, TF10 7DW

This post is funded through a Knowledge Transfer Partnership (KTP) between Harper Adams University and Karsten UK Limited, a fresh citrus processing and distribution business supplying major UK and European retailers. The Associate will develop and embed an AI-driven vision and quality sorting capability at Karsten UK’s Newport facility. A Fanuc Delta pick-and-place robot, already owned by Karsten UK, provides the actuation platform. The system will inspect and grade fruit against retailer specifications, using a compact conveyor training rig. The KTP funds the vision and training components, not the robot.

Working from the conveyor training rig, the Associate will develop a Discrete Element Method (DEM) simulation of fruit dynamics, generate synthetic training data through photorealistic rendering, and train AI classification models to achieve 95% accuracy. These outputs will be integrated with the robot controller to enable automated pick-and-place sorting. The approach is product-agnostic and can be retrained for new products and specifications.

The role combines AI model development, simulation-driven data generation, robotic integration, and practical engineering delivery in a food processing environment. Employment will be full-time at Karsten UK's Newport facility, with day-to-day direction from the site team. The Associate will receive at least half a day per week of academic supervision from Harper Adams University and access to its Collaborative Simulation Laboratory. Development, training and validation will take place on the conveyor training rig beside production, with live production reached only after validation on the rig. The post is a 24-month fixed-term appointment, with a target start date of 25 January 2027.

Essential Requirements

• First or upper second-class honours degree in Computer Science, Robotics, Engineering or a closely related discipline.
• Experience developing AI, machine learning or computer vision solutions.
• Programming experience using Python and/or MATLAB.
• Strong communication and project management skills.

Desirable Requirements

• MSc or PhD in a relevant subject area.
• Experience with simulation software, synthetic data generation or robotics.
• Knowledge of industrial automation, PLCs or robot programming.
• Experience within manufacturing, food processing or agricultural sectors.