Job Specifications
Purpose of the Role
Take ownership as a Machine Vision Engineer, not just supporting but partnering with end-users to drive real results. Whether working remotely or hands-on at customer sites, you'll troubleshoot, optimise, and elevate machine vision systems. You'll deliver continuous improvements that boost productivity and quality across cutting-edge Pharmaceutical, Healthcare, Medical Device, FMCG, and Food sectors. You will be part of a young small team where we need to quickly adapt to incoming customer requests.
Your focus will be on delivering projects across the UK and western Europe with a potential for global travel. If you thrive on solving complex technical challenges and enjoy engaging directly with customers to make a tangible impact, get in touch.
Key Accountabilities / Responsibilities
System Design & Integration - Design and specify vision solutions (cameras, lighting, optics) for use in automated inspection systems. Work with internal and customer teams to integrate these into broader automation setups.
On-Site Commissioning - Travel to customer sites to install, calibrate, and validate machine vision systems. Configure software tools (e.g., Cognex, Halcon, Sherlock, Zebra) and troubleshoot image quality or inspection logic.
Technical Support - Act as the primary technical contact for machine vision issues post-installation. Use software diagnostics, logs, and structured testing to resolve faults efficiently.
Continuous Improvement & Product Development - Monitor system performance in production and propose algorithm, lighting, or setup changes to improve reliability, reduce false positives/negatives, and increase throughput.
Documentation & Training - Write clear technical documentation for systems deployed. Deliver basic user training to operators and maintenance staff on how to use and interpret the vision system.
Collaboration - Work closely with Controls Engineers, Software Developers, and Project Managers to ensure seamless integration into production equipment.
Outputs/Deliverables
Deliver machine vision projects from start to finish
Technical definition during sales process, providing advice to what system will fit customer request best
Offline programming and lab testing. Prepare the vision system in the lab completely simulating the production environment
Onsite installation at the customer including the assembly of hardware, setting up system, testing and validating the system, training of operators.
Providing support during lifetime of the system including remote support and onsite service
Knowledge And Experience
Strong analytical and problem-solving skills
Ability and drive to adopt new technologies quickly and deliver customer specific projects
A broad understanding of the location and purpose of a vision system within a full technical specification
Solid understanding of the workflow of vision inspection - (Image Acquisition, Image filtering, Part Location, Data Segmentation/Extraction, Data Processing)
Good communication and teamwork skills to collaborate effectively with cross-functional teams
Proven familiarity with tools for company-wide communications such as MS-Word and MS-Excel
Essential
Technical Skills and Qualifications
A Bachelor's degree in Computer Science, Electrical Engineering, Automation or related field (or relevant experience)
Experience with vision algorithm software packages in a development environment
Proven ability to develop applications
Familiar with industrial networking (network architecture, VPN system, Industrial protocols like Ethernet/IP, profinet, modbus)
Software management in Git/Related tooling
Desirable
Previous experience in use of any of the following vision software packages:
Cognex - Insight Vision
Zebra
MVTec - Halcon
Programming experience in C#, C++, JS, or Python
Exposure to AI tooling in code development
Electrical hardware design and installation
Knowledge of a range of techniques within Optics and Lighting to help combat challenges in the inspection process
Additionally programming of automation or robotic languages is also a plus