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- Tasks: Design and optimise machine vision systems for 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 with cutting-edge technology.
- Why this job: Make a real impact in life-enhancing diagnostics and automated inspection.
- Qualifications: Engineering or scientific degree with experience in machine vision systems.
- Other info: Dynamic team environment focused on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
CureTalent 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!
Vision Engineer in Oxford employer: CURE TALENT LIMITED
Contact Detail:
CURE TALENT LIMITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Vision Engineer in Oxford
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect 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 or a project that highlights your experience with machine vision systems. This can really set you apart from other candidates when you’re chatting with potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions related to machine vision and automated inspection. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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 hearing from passionate candidates like you!
We think you need these skills to ace Vision Engineer in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Vision Engineer role. Highlight your experience with machine vision and automated inspection systems, especially if you've worked with Cognex or Keyence. We want to see how your skills match 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 background in engineering or science makes you a great fit. Don’t forget to mention any innovative solutions you've implemented in past roles.
Showcase Relevant Projects: If you've worked on specific projects that relate to machine vision or automation, be sure to include them in your application. We love seeing real-world examples of your problem-solving skills and technical expertise!
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 the role. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at CURE TALENT LIMITED
✨Know Your Tech
Make sure you brush up on your knowledge of machine vision systems, especially if you've worked with Cognex or Keyence before. Be ready to discuss specific projects where you 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 delivered robust vision solutions.
✨Understand the Company’s Vision
Research the medtech organisation's history and their approach to diagnostic products. Understanding their mission will help you align your answers with their goals and demonstrate your genuine interest in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's machine vision strategy and emerging technologies. This shows that you're not only interested in the position but also eager to contribute to their future-focused solutions.
