Machine Vision Systems Engineer

All the health information we need is within us. Just below the skin. SAVA is redefining the way people interact with their health by developing the most advanced biosensing technology science has to offer, capable of accessing bodily information in a painless, real‑time and affordable way.

The Role

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.

What We're Looking For

• 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.

Bonus Points For

• 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.

Why Sava?

This is a high‑ownership, high‑responsibility role in a company that’s building something complex, meaningful, and fast. The expectations are high, the learning curve is steep, and the work is often messy - but the impact is real. We don’t have room for egos or passengers. What we do have is a team of thoughtful, driven, and mission‑aligned people who are committed to building something better—and doing it with urgency and integrity.