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- Tasks: Support and optimise machine vision systems in high volume manufacturing.
- Company: Join a global medtech leader with over 100 years of innovation.
- Benefits: Competitive salary, career growth, and a chance to work on life-enhancing products.
- Why this job: Make a real impact by developing cutting-edge vision solutions in a dynamic environment.
- Qualifications: Degree in Engineering or Science, experience with machine vision systems, and programming skills.
- Other info: Opportunity to work closely with R&D teams and drive technological advancements.
The predicted salary is between 36000 - 60000 £ per year.
Cure Talent is delighted to be partnering with a global medtech organisation with a heritage of over 100 years, specialising in the design and manufacture of life enhancing diagnostic products. Due to continued growth and investment, an opportunity has arisen for an experienced Vision Engineer to join the team.
In this role, you will be responsible for supporting, developing and improving machine vision and automated inspection capability across high volume manufacturing, working closely with engineering and R&D teams to deliver reliable, compliant and future focused solutions.
The Role
- Support high volume manufacturing through the design, development and optimisation of machine vision and automated inspection systems
- Apply innovative and pragmatic problem solving to deliver robust, repeatable vision solutions
- Lead vision system activities from requirements definition and specification through to design and installation on automated equipment
- Work closely with manufacturing and R&D engineering teams to support existing processes and equipment improvements
- Develop and promote the machine vision strategy, advising on emerging technologies and supplier selection
Key Requirements
- HNC, HND or degree in an Engineering or Scientific discipline
- Proven experience integrating machine vision and automated inspection systems, ideally using Cognex and Keyence
- Programming experience in C or C#, with knowledge of code readers
- Exposure to Siemens S7 or Allen Bradley PLC platforms, beneficial but not essential
- Experience working in a regulated environment with strong documentation discipline
If you are looking for a technically engaging role where you can take ownership of machine vision systems within a high volume manufacturing environment, we would love to hear from you!
Machine Vision Engineer employer: Cure Talent
Contact Detail:
Cure Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Vision Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant meetups or webinars, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews! Research the company and its products, especially their machine vision systems. We want you to show them you’re not just another candidate, but someone who genuinely understands their mission and can contribute to their innovative solutions.
✨Tip Number 3
Showcase your skills! Bring a portfolio of your past projects or any relevant work that highlights your experience with machine vision and automated inspection systems. We believe that tangible examples can really set you apart from the competition.
✨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, we love seeing candidates who take the initiative to engage directly with us!
We think you need these skills to ace Machine Vision Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Vision Engineer role. Highlight your experience with machine vision systems, programming skills, and any relevant projects you've worked on. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your skills can contribute to our team. Be sure to mention any specific technologies or methodologies you’ve used that relate to the job description.
Showcase Problem-Solving Skills: In your application, don’t forget to showcase your problem-solving abilities. Share examples of how you've tackled challenges in previous roles, especially those related to machine vision and automated inspection. We love seeing innovative thinkers!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Cure Talent
✨Know Your Tech
Make sure you brush up on your knowledge of machine vision systems, especially if you've worked with Cognex or Keyence. Be ready to discuss specific projects where you integrated these technologies and how you tackled any challenges.
✨Showcase Problem-Solving Skills
Prepare examples that highlight your innovative and pragmatic problem-solving abilities. Think about times when you had to develop or optimise a vision system under pressure and be ready to explain your thought process.
✨Understand the Role
Familiarise yourself with the specifics of the role and the company’s focus on high volume manufacturing. Be prepared to discuss how your experience aligns with their needs and how you can contribute to their machine vision strategy.
✨Ask Smart Questions
Prepare insightful questions about the company's current projects, their vision for future technologies, and how they integrate R&D with manufacturing. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
