Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and optimise machine vision systems for high volume manufacturing.
- Company: Global medtech organisation with over 100 years of heritage.
- Benefits: Competitive salary, career growth, and innovative work environment.
- Why this job: Join a team making a real impact in life-enhancing diagnostics.
- Qualifications: Degree in Engineering or Science, experience with machine vision systems.
- Other info: Opportunity to work with cutting-edge technology in a regulated environment.
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
- 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 in Oxford employer: Cure Talent
Contact Detail:
Cure Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Vision Engineer in Oxford
✨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 interviews by researching the company and its products. Understand their machine vision systems and think of ways you can contribute. We want you to show them you’re not just another candidate, but the perfect fit for their team!
✨Tip Number 3
Practice your problem-solving skills! Since this role involves innovative solutions, brush up on your technical knowledge and be ready to tackle hypothetical scenarios during interviews. We believe showing your thought process can really impress potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals like you to join our team and make a difference in the world of machine vision.
We think you need these skills to ace Machine Vision Engineer in Oxford
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’s super easy to do!
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've integrated these technologies and how they improved processes.
✨Showcase Problem-Solving Skills
Prepare examples that highlight your innovative and pragmatic problem-solving abilities. Think of situations where you faced challenges in high volume manufacturing and how you tackled them using machine vision solutions.
✨Understand the Role
Familiarise yourself with the responsibilities outlined in the job description. Be prepared to discuss how your experience aligns with supporting and optimising automated inspection systems, and how you can contribute to the team’s goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s machine vision strategy and emerging technologies. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
