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Machine Vision Engineer

Job in Tadcaster, North Yorkshire, LS24, England, UK
Listing for: Mpac Group PLC
Full Time position
Listed on 2026-02-18
Job specializations:
  • Engineering
    Systems Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Job Overview

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 to continuously improve productivity and quality across Pharmaceutical, Healthcare, Medical Device, FMCG, and Food sectors. As part of a young small team, you will quickly adapt to incoming customer requests and deliver projects across the UK and western Europe, with opportunities for global travel.

If you thrive on solving complex technical challenges and enjoy engaging directly with customers to make a tangible impact, we invite you to apply.

Key Accountabilities / Responsibilities
  • System Design & Integration – Design and specify vision solutions (cameras, lighting, optics) for automated inspection systems and work with internal and customer teams to integrate them into broader automation setups.
  • On‑Site Commissioning – Travel to customer sites to install, calibrate, and validate machine vision systems. Configure software tools such as Cognex, Halcon, Sherlock, and Zebra, and troubleshoot image quality or inspection logic.
  • Technical Support – Act as the primary technical contact for machine vision issues post‑installation using software diagnostics, logs and structured testing.
  • 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 and 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.
  • Provide technical definition during the sales process, advising on the best‑fit system for customer requests.
  • Perform offline programming and lab testing, fully simulating the production environment.
  • Execute onsite installation, including hardware assembly, system setup, testing, validation, and operator training.
  • Provide ongoing support throughout the system’s lifetime, including remote and onsite service.
Qualifications
  • Strong analytical and problem‑solving skills.
  • Ability and drive to adopt new technologies quickly and deliver customer‑specific projects.
  • Broad understanding of the location and purpose of a vision system within a full technical specification.
  • Solid understanding of the vision inspection workflow (image acquisition, filtering, part location, data segmentation/extraction, processing).
  • Good communication and teamwork skills to collaborate effectively with cross‑functional teams.
  • Proven familiarity with MS‑Word and MS‑Excel.
  • A Bachelor’s degree in Computer Science, Electrical Engineering, Automation or a related field (or relevant experience).
  • Experience with vision algorithm software packages in a development environment.
  • Proven ability to develop applications.
  • Familiarity with industrial networking (network architecture, VPN, Ethernet/IP, Profinet, Modbus).
  • Experience with software management in Git and related tooling.
Desirable Experience
  • Cognex Insight Vision
  • Zebra
  • MVTec Halcon
  • Programming experience in C#, C++, JavaScript or Python.
  • Exposure to AI tooling in code development.
  • Electrical hardware design and installation.
  • Knowledge of optics and lighting techniques to address inspection challenges.
  • Experience with automation or robotic languages is a plus.
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