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For Companies At a Glance
- Tasks: Design and optimise machine vision systems for various industries, driving real results.
- Company: Dynamic engineering firm with a focus on innovation and collaboration.
- Benefits: Negotiable salary, hybrid work, and opportunities for global travel.
- Why this job: Make a tangible impact by solving complex technical challenges in exciting sectors.
- Qualifications: Degree in Computer Science or related field; experience with vision software preferred.
- Other info: Join a young team with excellent career growth and learning opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Location: Hybrid / Tadcaster LS24, UK
Job type: Permanent / Full-time
Sector and subsector: Engineering | General
Salary: Negotiable Salary
Purpose of the Role
Take ownership as a Machine Vision Engineer, not just supporting but 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.
- Technical definition during sales process, providing advice to 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 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.
Technical Skills and Qualifications
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 Lambert
Contact Detail:
Mpac Lambert Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Vision Engineer in Tadcaster
✨Tip Number 1
Network like a pro! Attend industry events, webinars, or local meetups related to machine vision and engineering. It's a great way to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine vision systems. This will give you an edge when chatting with hiring managers.
✨Tip Number 3
Don’t just apply – engage! When you find a job on our website, reach out to the hiring manager directly. A quick email expressing your enthusiasm can make a big difference.
✨Tip Number 4
Prepare for interviews by brushing up on common technical questions related to machine vision. Practice explaining your thought process clearly, as communication is key in this role!
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! Talk about your experiences and how they relate to the role. We want to see that you’re not just looking for a job, but that you’re excited about making a real impact in the industry.
Tailor Your Application: Make sure to customise your CV and cover letter to highlight the skills and experiences that match the job description. We love seeing candidates who take the time to connect their background with what we’re looking for in a Vision Engineer.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s relevant. We appreciate when candidates can communicate complex ideas simply, as this reflects the kind of clarity we value in our team.
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 on joining our team at StudySmarter!
How to prepare for a job interview at Mpac Lambert
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific vision software packages mentioned in the job description, like Cognex and Halcon. Brush up on your programming skills in C#, C++, or Python, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past experiences where you’ve tackled complex technical challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how your solutions made a tangible impact.
✨Engage with the Team Spirit
Since this role involves collaboration with various teams, be ready to talk about your teamwork experiences. Share examples of how you’ve worked effectively with engineers, developers, or project managers to achieve common goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects, team dynamics, and future developments in machine vision technology. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.