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- Tasks: Design and optimise machine vision systems to enhance productivity in various sectors.
- 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 impact by solving complex challenges and collaborating with customers.
- Qualifications: Degree in Computer Science or related field; experience with vision software is a plus.
- Other info: Fast-paced environment with excellent growth potential and hands-on experience.
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 will troubleshoot, optimise, and elevate machine vision systems. You will 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.
- Deliver machine vision projects from start to finish.
- Technical 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.
- 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
- 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 Tadcaster employer: Mpac
Contact Detail:
Mpac Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Vision Engineer in Tadcaster
✨Tip Number 1
Get your networking game on! Connect with professionals in the machine vision field through LinkedIn or industry events. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving vision systems. We want to see your problem-solving prowess and how you’ve tackled real-world challenges.
✨Tip Number 3
Don’t shy away from reaching out directly to companies you’re interested in. A friendly email or message can go a long way. We love proactive candidates who take the initiative!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate individuals ready to make an impact in the machine vision space.
We think you need these skills to ace Vision Engineer in Tadcaster
Some tips for your application 🫡
Show Your Passion for Vision Engineering: When writing your application, let your enthusiasm for machine vision shine through! Share specific examples of projects or experiences that highlight your problem-solving skills and technical expertise. We love seeing candidates who are genuinely excited about making a difference in the industry.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Vision Engineer role. Highlight relevant experience with vision systems, software tools, and any customer-facing roles you've had. This helps us see how you fit into our team and the impact you can make!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your skills and experiences, avoiding jargon unless it's relevant. We appreciate a well-structured application that makes it easy for us to understand your qualifications.
Apply Through Our Website: We encourage you to submit your application directly through our website. This ensures we receive all your details correctly and allows us to process your application more efficiently. Plus, it’s the best way to stay updated on your application status!
How to prepare for a job interview at Mpac
✨Know Your Vision Systems
Make sure you brush up on your knowledge of machine vision systems, especially the specific software and tools mentioned in the job description like Cognex and Halcon. Be ready to discuss how you've used these tools in past projects or how you would approach troubleshooting common issues.
✨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 adapt quickly to meet customer needs or improve system performance.
✨Communicate Clearly
Since you'll be working closely with cross-functional teams, practice explaining technical concepts in a way that's easy for non-technical team members to understand. Clear communication is key, especially when delivering training or documentation.
✨Demonstrate Your Adaptability
This position involves travelling to customer sites and adapting to their requests. Be prepared to discuss times when you've had to pivot quickly in response to changing circumstances or customer feedback, showcasing your flexibility and customer-centric approach.