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For Companies At a Glance
- Tasks: Join our team to develop cutting-edge machine vision systems for health technology.
- Company: SAVA is revolutionising health interaction with advanced biosensing technology.
- Benefits: Gain hands-on experience in a dynamic, high-responsibility role with real impact.
- Why this job: Be part of a mission-driven team making a difference in healthcare technology.
- Qualifications: Degree in Engineering or related field; experience in machine vision preferred.
- Other info: Fast-paced environment with opportunities for growth and learning.
The predicted salary is between 30000 - 42000 ÂŁ per year.
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.
Junior Machine Vision Systems Engineer employer: SAVA
Contact Detail:
SAVA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Machine Vision Systems Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine vision or automation. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to machine vision systems. Be ready to discuss your hands-on experience and how you've tackled challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at SAVA.
We think you need these skills to ace Junior Machine Vision Systems Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Junior Machine Vision Systems Engineer role. Highlight any relevant projects or coursework, especially those involving machine vision or automation.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about biosensing technology and how your background makes you a great fit for our team. Be genuine and let your enthusiasm shine through!
Showcase Your Technical Skills: Don’t forget to mention your experience with Cognex Designer and any coding languages like C# or Python. We want to see how you can contribute to our vision systems right from the start!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at SAVA!
How to prepare for a job interview at SAVA
✨Know Your Tech
Make sure you brush up on your knowledge of machine vision systems, especially Cognex Designer. Familiarise yourself with the basics of lighting, optics, and image processing, as these are crucial for the role. Being able to discuss your practical experience confidently will impress the interviewers.
✨Show Your Problem-Solving Skills
Prepare to share examples of how you've tackled technical challenges in the past. Think about specific instances where you debugged a system or optimised a process. This will demonstrate your logical approach to troubleshooting, which is key for a Junior Machine Vision Systems Engineer.
✨Get Hands-On Experience
If possible, try to get some hands-on practice with vision systems before the interview. Whether it's through personal projects or online simulations, being able to talk about your practical experiences will set you apart. It shows you're proactive and eager to learn, which is exactly what SAVA is looking for.
✨Communicate Clearly
During the interview, focus on communicating your technical progress clearly. Practice explaining complex concepts in simple terms, as you'll need to collaborate with a multi-disciplinary team. Good communication skills can make a huge difference in how your technical abilities are perceived.
