At a Glance
- Tasks: Develop and deploy machine vision applications in a hands-on engineering role.
- Company: SAVA, a pioneering company in biosensing technology.
- Benefits: High-responsibility role with steep learning curve and real impact.
- Other info: Collaborative environment with opportunities for growth and innovation.
- Why this job: Join a mission-driven team redefining health interaction through advanced technology.
- Qualifications: Degree in Engineering or related field; experience in machine vision preferred.
The predicted salary is between 30000 - 42000 £ 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.
Machine Vision Systems Engineer employer: Sava
Sava is an exceptional employer that values innovation and collaboration, providing a dynamic work environment in Greater London. Employees benefit from comprehensive professional development opportunities, a supportive culture that encourages growth, and the chance to make a meaningful impact in clinical operations. With a focus on compliance and excellence, Sava offers a unique advantage for those looking to advance their careers in the healthcare sector.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Vision Systems Engineer
✨Join Engineering Meetups!
Get yourself along to local engineering meetups or tech conferences. These are great places to connect with like-minded folks and industry leaders who might just have a lead on that full-time Machine Vision Systems Engineer role you’re after at Sava.
✨Show Off Your Projects!
Don’t be shy about showcasing your engineering projects. Whether it’s a funky app, a mechanical design, or a complex algorithm, having a solid portfolio on platforms like GitHub can really make you stand out. Plus, it gives potential employers at Sava a taste of what you can bring to the table!
✨Engage with Online Communities
Dive into engineering forums and online communities, like Reddit or specific engineering Discord channels. Sharing your insights, asking questions, and being active can help you build connections that might lead to job opportunities at Sava.
✨Apply Through Company Websites
When you spot a role like Machine Vision Systems Engineer at Sava, apply directly through their website. Often, this can show your genuine interest in the company and you might just get noticed quicker than via typical job boards.
We think you need these skills to ace Machine Vision Systems Engineer
Some tips for your application 🫡
Showcase Your Technical Expertise:When applying for an engineering role like Machine Vision Systems Engineer, it’s essential to highlight your technical skills. Include any relevant software or tools you're proficient in on your CV—think CAD software, simulation tools, or programming languages. Don't skimp on any engineering projects you've worked on that demonstrate your ability to solve complex problems.
Focus on Results and Impact:In the engineering world, we love numbers and real-world impact. Quantify your achievements wherever possible—like reducing costs by a certain percentage, improving efficiency, or successfully completing a project ahead of schedule. This gives your future employers at Sava a clear picture of the value you can bring.
Craft a Compelling Cover Letter:Use your cover letter to express your passion for engineering and explain why you’re drawn to Sava specifically. Share what aspects of their work excite you and how your values align with theirs. This is your chance to show a bit of personality while keeping it professional!
Include Relevant Certifications:If you have any engineering certifications, especially ones that are recognised in your field, make sure to feature them prominently on your CV. They demonstrate not just your knowledge, but also your commitment to professional development, which is something we at StudySmarter value highly.
How to prepare for a job interview at Sava
✨Brush Up on Core Engineering Principles
Before heading into the interview with Sava, make sure you're solid on the fundamental engineering principles relevant to the role. Be ready to discuss concepts such as thermodynamics, fluid mechanics, or structural analysis, depending on the specifics mentioned in the job description. Don’t skip any hands-on projects or coursework; these can be excellent talking points!
✨Show Off Your Problem-Solving Skills
Expect technical questions or case studies during your interview—after all, engineering is all about solving problems! Prepare a few examples of how you've tackled engineering challenges in the past, whether at university or in any practical experience. Practising with mock technical interviews can really help you articulate your thought process and solutions.
✨Relate Your Experience to the Role
In a full-time role, employers like Sava want to see that you can adapt and grow within their team. Be ready to discuss how your previous internships, projects, or studies relate directly to the work you'll be doing. Highlight specific experiences that showcase your collaborative skills and how you've successfully worked within a team environment.
✨Know Your Tools and Software
Most engineering roles require familiarity with specific tools and software. Prepare to talk about your proficiency with programmes like AutoCAD, MATLAB, or SolidWorks if they’re relevant to the role. Even better, have examples of projects where you’ve used these tools, as it'll demonstrate your hands-on experience and readiness for the job.
