Digital Internship Opportunity: ​​Development of a Low-Power Embedded Vision System for Print Plate Alignment​
Reference Number: 9144Z​ 
Start Date: ASAP
Location: Greater Manchester

Role Profile/Job Description 

This role will focus on replacing an existing industrial PC-based vision control solution with a more cost-effective, energy-efficient embedded alternative.

The successful candidate will contribute to the design, development, integration, and testing of a prototype system that combines embedded hardware, machine vision, and user interface development. This is an excellent opportunity for a student or recent graduate to gain hands-on experience in embedded systems, image processing, and industrial technology development within a real engineering environment.  

Key Responsibilities

The Digital Technology Intern will:

  • Review the current vision-based alignment system and understand project requirements
  • Research and help select a suitable embedded hardware platform
  • Integrate and configure a high-magnification camera system
  • Develop software to capture and process image data for precise plate alignment
  • Support interfacing between the embedded system and machine controls where applicable
  • Design and build a simple, intuitive operator interface
  • Test and benchmark the prototype against the current PC-based system
  • Evaluate hardware cost, power consumption, usability, and performance
  • Document system architecture, development progress, and recommendations for future integration
  • Present outcomes and findings at the end of the internship

Business Overview 

​​The Client is a UK-based manufacturer of flexographic pre-press equipment, supplying plate mounting and proofing systems to global printing and packaging markets. As part of ongoing product innovation, the business is exploring opportunities to enhance machine performance, reduce costs, and improve energy efficiency.

 Skills required 

​​Essential Skills and Experience 

  • Knowledge of embedded systems development
  • Programming ability in Python and/or C++
  • Basic understanding of machine vision or image processing 
  • Experience working with hardware integration, such as cameras and interfaces
  • Strong problem-solving and prototyping skills
  • Ability to communicate technical information clearly
  • Ability to work independently while collaborating with technical colleagues

Desirable Skills and Experience

  • Familiarity with platforms such as Raspberry Pi, NVIDIA Jetson, Siemens edge devices, or SICK systems
  • Experience using OpenCV or similar vision libraries
  • Experience developing user interfaces, for example with PyQt or web-based tools
  • Understanding of camera SDKs and industrial hardware interfaces
  • Interest in industrial automation, electronics, or manufacturing technology​ 

To apply email madesmarterinternships@growthco.uk quoting the reference number of the internship you wish to apply for.