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Manufacturing Vision Engineer

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Manufacturing Vision Engineer / Machine Vision Engineer: Industrial Automation
Location: Sheffield, South Yorkshire
Department: Manufacturing Automation
Employment: Full-time
Overview
We are currently recruiting for our client in Sheffield, for a Manufacturing Engineer that has experience of getting involved in building machine vision systems behind next-generation green hydrogen manufacturing. This is an exciting role that would suit a hands-on Machine Vision Engineer, Vision Systems Engineer, Automation Engineer or Manufacturing Engineer with hands-on experience of industrial vision, automated inspection and production equipment?
The Role
The role will work with machine vision cameras, optics, lighting, image processing, Automated Optical Inspection (AOI), Data Matrix/DMC identification and PLC-controlled automation, helping ensure our production equipment can consistently detect defects, identify products and capture the data required for quality and traceability.
This role will also play an important role in introducing new manufacturing equipment, supporting NPI and production ramp-up, troubleshooting vision systems and establishing robust, repeatable vision standards across multiple machines and production areas.
The role will be joining a manufacturing organisation where automation, inspection and industrialisation are critical to scaling production.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
This is an opportunity to have genuine technical ownership: you'll help determine how machine vision is integrated into production equipment, solve real manufacturing problems and develop inspection solutions that need to work reliably in a live production environment.
Duties And Responsibilities
- Lead the integration and commissioning of industrial machine vision systems into automated manufacturing equipment and production lines.
- Configure and optimise machine vision cameras, lighting, optics and image-processing systems to achieve reliable and repeatable defect detection.
- Develop and implement Automated Optical Inspection (AOI) solutions for manufacturing applications.
- Integrate vision systems with PLC-controlled machinery and industrial automation systems.
- Support the installation, setup, commissioning and ramp-up of new manufacturing equipment.
- Translate manufacturing and quality requirements into practical vision inspection specifications and system configurations.
- Troubleshoot machine vision problems including image quality, lighting, camera setup, detection performance, communications and system integration.
- Work with equipment suppliers, machine builders and automation engineers to specify, validate and improve vision systems.
- Implement and maintain standards for machine vision, inspection and DMC/Data Matrix identification across multiple machines and production areas.
- Support NPI and industrialisation activities by ensuring vision and inspection systems are production-ready.
- Ensure vision data is captured correctly and made available to MES, traceability and downstream manufacturing systems.
- Drive continuous improvement of inspection capability, system reliability, repeatability and manufacturing robustness.


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Essential Experience
What we're looking for:
- Degree, HND, HNC or equivalent qualification in Electrical Engineering, Electronic Engineering, Automation, Mechatronics, Mechanical Engineering, Manufacturing Engineering, Industrial Engineering or a related discipline.
- Around 5+ years experience in manufacturing engineering, industrialisation, NPI or manufacturing automation.
- Proven hands-on experience with industrial machine vision, automated inspection or AOI systems.
- Strong understanding of industrial cameras, optics, lighting, image acquisition and image processing.
- Experience integrating vision systems into automated manufacturing machinery or production lines.
- Experience working with PLCs and industrial automation systems.
- Practical experience of commissioning
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