Machine Vision Systems Engineer

At Sava, we are looking for a motivated Junior Machine Vision Systems Engineer to join our Automation and Equipment Team, supporting the development of vision systems used within custom automation equipment for both R&D and manufacturing.

This role is ideal for an early-career engineer who is keen to build hands-on experience in industrial machine vision within a regulated environment.

You will work closely with other disciplines of engineer within the team to implement, test, and support vision-based inspection and alignment solutions, primarily using Cognex Designer, while gaining exposure to other leading vision platforms.

What You’ll Do

• Support the development and deployment of machine vision applications using Cognex Designer.
• Assist with setup and testing of cameras, lenses, lighting, and vision sensors.
• Support integration of vision systems with automation equipment and control systems.
• Assist with debugging and optimisation of vision inspections to improve robustness and repeatability.
• Contribute to documentation such as vision setup guides, troubleshooting guide, and test reports.
• Support on-equipment commissioning activities.
• Work hands-on with equipment during build and testing phases.
• Collaborate with the wider project team and communicate technical progress clearly.

• Degree qualified (or equivalent) in Engineering or a related discipline, such as Computer Science or ECE (electronics and communications)
• 1+ year’s experience in machine vision, automation, or a related engineering field.
• Practical experience using Cognex Designer/VisionPro/Insight Vision suite.
• Exposure to other vision systems such as Keyence, Omron, or similar industrial vision platforms.
• Basic understanding of vision fundamentals (lighting, optics, image processing).
• Intermediate level of Coding knowledge in C#, Python, JSS.
• Commitment to good health and safety practices
• Proactive mindset with a willingness to learn and take ownership of tasks.
• Logical approach to troubleshooting and problem solving.
• Comfortable working in a multi-disciplinary engineering environment., * Experience in Medical Device or Pharmaceutical manufacturing environments.
• Hands-on experience with Keyence vision sensors or smart cameras.
• Familiarity with validation or commissioning activities.
• Experience in Deep Learning or Machine learning related vision projects.