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For Companies At a Glance
- Tasks: Design and optimise machine vision systems for various industries, delivering impactful solutions.
- Company: Join a dynamic team at the forefront of technology in healthcare and manufacturing.
- Benefits: Competitive salary, remote work options, and opportunities for global travel.
- Why this job: Make a real difference by solving complex challenges and enhancing productivity.
- Qualifications: Degree in relevant field or equivalent experience; strong problem-solving skills required.
- Other info: Collaborative environment with excellent growth potential and hands-on project involvement.
The predicted salary is between 36000 - 60000 £ per year.
Take ownership as a Machine Vision Engineer, partnering with end-users to drive real results. Whether working remotely or hands-on at customer sites, you’ll troubleshoot, optimise, and elevate machine vision systems. You’ll deliver continuous improvements that boost productivity and quality across cutting-edge Pharmaceutical, Healthcare, Medical Device, FMCG, and Food sectors. You will be part of a young small team where we need to quickly adapt to incoming customer requests. Your focus will be on delivering projects across the UK and western Europe with a potential for global travel. If you thrive on solving complex technical challenges and enjoy engaging directly with customers to make a tangible impact, get in touch.
Key Accountabilities / Responsibilities
- System Design & Integration: Design and specify vision solutions (cameras, lighting, optics) for use in automated inspection systems. Work with internal and customer teams to integrate these into broader automation setups.
- On-Site Commissioning: Travel to customer sites to install, calibrate, and validate machine vision systems. Configure software tools (e.g., Cognex, Halcon, Sherlock, Zebra) and troubleshoot image quality or inspection logic.
- Technical Support: Act as the primary technical contact for machine vision issues post-installation. Use software diagnostics, logs, and structured testing to resolve faults efficiently.
- Continuous Improvement & Product Development: Monitor system performance in production and propose algorithm, lighting, or setup changes to improve reliability, reduce false positives/negatives, and increase throughput.
- Documentation & Training: Write clear technical documentation for systems deployed. Deliver basic user training to operators and maintenance staff on how to use and interpret the vision system.
- Collaboration: Work closely with Controls Engineers, Software Developers, and Project Managers to ensure seamless integration into production equipment.
Outputs/Deliverables
- Deliver machine vision projects from start to finish.
- Definition during sales process, providing advice on what system will fit customer request best.
- Offline programming and lab testing.
- Prepare the vision system in the lab completely simulating the production environment.
- Onsite installation at the customer including the assembly of hardware, setting up system, testing and validating the system, training of operators.
- Providing support during the lifetime of the system including remote support and onsite service.
Knowledge And Experience
- Strong analytical and problem-solving skills.
- Ability and drive to adopt new technologies quickly and deliver customer specific projects.
- A broad understanding of the location and purpose of a vision system within a full technical specification.
- Solid understanding of the workflow of vision inspection - (Image Acquisition, Image filtering, Part Location, Data Segmentation/Extraction, Data Processing).
- Good communication and teamwork skills to collaborate effectively with cross-functional teams.
- Proven familiarity with tools for company-wide communications such as MS-Word and MS-Excel.
Essential Technical Skills and Qualifications
- A Bachelor's degree in Computer Science, Electrical Engineering, Automation or related field (or relevant experience).
- Experience with vision algorithm software packages in a development environment.
- Proven ability to develop applications.
- Familiar with industrial networking (network architecture, VPN system, Industrial protocols like Ethernet/IP, profinet, Modbus).
- Software management in Git/Related tooling.
Desirable
- Previous experience in use of any of the following vision software packages: Cognex - Insight Vision, Zebra, MVTec - Halcon.
- Programming experience in C#, C++, JS, or Python.
- Exposure to AI tooling in code development.
- Electrical hardware design and installation.
- Knowledge of a range of techniques within Optics and Lighting to help combat challenges in the inspection process.
- Additionally, programming of automation or robotic languages is also a plus.
Vision Engineer in Church Fenton employer: Mpac Group
Contact Detail:
Mpac Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Vision Engineer in Church Fenton
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend events, join online forums, or even hit up LinkedIn. The more you engage, the better your chances of landing that Vision Engineer role.
✨Tip Number 2
Show off your skills! When you get the chance to chat with potential employers, be ready to discuss your experience with machine vision systems. Share specific examples of how you've solved problems or improved processes in past roles.
✨Tip Number 3
Don’t just wait for job openings to pop up! Reach out directly to companies you admire, like us at StudySmarter. Express your interest in working with them and highlight how you can contribute to their projects.
✨Tip Number 4
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss software tools like Cognex or Halcon, and think about how you can apply your skills to real-world challenges in the pharmaceutical or healthcare sectors.
We think you need these skills to ace Vision Engineer in Church Fenton
Some tips for your application 🫡
Show Your Passion for Vision Engineering: When you write your application, let your enthusiasm for machine vision shine through! Talk about why you're excited about the role and how you can make a real impact in the Pharmaceutical and Healthcare sectors. We love seeing candidates who are genuinely interested in solving complex challenges.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this specific role. Highlight your experience with vision systems, software tools like Cognex or Halcon, and any relevant projects you've worked on. We want to see how your skills align with what we’re looking for!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your technical skills and experiences. We appreciate well-structured applications that make it easy for us to see your qualifications at a glance.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details 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 Mpac Group
✨Know Your Vision Systems
Make sure you brush up on your knowledge of machine vision systems, especially the specific software tools mentioned in the job description like Cognex and Halcon. Be ready to discuss how you've used these tools in past projects and how they can be applied to solve customer challenges.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex technical challenges you've faced and how you resolved them. This role requires strong analytical skills, so think about situations where you had to troubleshoot or optimise a system, and be ready to explain your thought process.
✨Demonstrate Your Communication Skills
Since you'll be working closely with customers and cross-functional teams, practice articulating your ideas clearly. Think about how you would explain technical concepts to someone without a technical background, as this will be crucial when delivering training or support.
✨Be Ready for Hands-On Scenarios
Given the hands-on nature of the role, prepare for potential practical assessments during the interview. Familiarise yourself with the installation and calibration processes of vision systems, and be ready to discuss how you would approach these tasks on-site.
