Vision Systems Engineer

Didcot

9 months ago

Applications closed

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Applications Engineer – Machine Vision & Industrial Automation

Location: Didcot Salary: £35,000

Benefits
Competitive salary
Company pension
25 days annual leave + bank holidays
Private health insurance
Training budget
Free on-site parkingAbout Us Since our inception in 2000, we have led the change in revolutionising the world of inspection machines and artificial intelligence vision system products. Operating from the UK, we have expanded our reach to serve customers across the globe, earning a well-deserved reputation for innovation, unmatched quality, and precision in the realm of machine vision systems for inspection, guidance, and identification.

We are the driving force behind the complete spectrum of factory automation processes and procedures. From groundbreaking medical designs to cutting-edge electrical control systems, industrial automation, machine vision, and seamless installation, we are at the forefront of technological advancement.

Our commitment to excellence has garnered the trust of countless blue-chip manufacturers worldwide. With hundreds of systems currently installed across the globe, we are the go-to choice for those seeking unparalleled vision technology solutions.

Why Join Us? Are you ready to be a part of a company transforming the future of technology? We present an extraordinary opportunity for individuals brimming with invention to join our dynamic, growing organisation that thrives in the high-technology sector. Based at the prestigious Harwell Science and Innovation Campus, we foster an environment where innovation is not just a word, but a way of life.

At our company, you won’t just be a part of history—you’ll be shaping the future. This is your chance to contribute to cutting-edge vision technology. Apply today and become a key player in our ongoing success story.

The RoleWe are looking to recruit a keen and enthusiastic Applications Engineer who can work effectively as part of an experienced engineering team. You will learn, design, document, manage, integrate, commission, and support machine vision applications across various industries.

This role offers an excellent opportunity to develop automation, mechanical, and electrical skills, as well as all aspects of industrial automation control and design. Our services are project-driven, providing great scope to learn about overall project management in an industrial environment and to communicate with our blue-chip customers.

Key Responsibilities
Become proficient in our machine vision graphical user interface (GUI) software packages.

Gain expertise in machine vision technology, including PCs, cameras, optics, lighting, filters, and image processing methods.

Design machine vision applications using our software and hardware.

Manage projects, coordinate with team members, and liaise with suppliers and customers.

Ensure projects are delivered on time and within budget.

Update internal project documentation for traceability and analysis.

Create specifications and test studies for machine vision applications.

Document mechanical, electrical, and communication specifications for smaller systems.

Compile technical files for larger machine vision systems.

Support the engineering team to ensure timely project delivery.

Assist with the production of machines and systems.

Integrate and factory acceptance test systems on-site.

Commission and site acceptance test systems at customer locations.

Provide remote and on-site training and support for our systems.

Develop machine vision solutions for customer demonstrations, evaluations, and proposals.

Required Skills & QualificationsEssential Requirements
Minimum of 2 years of engineering industry experience.

Degree (2.1 or above) in Engineering or a related field.

Strong problem-solving skills, organization, and attention to detail.

Excellent written and verbal communication skills.

Ability to work both independently and in a team.

Full, clean UK driving license.

Desirable Requirements
Knowledge of machine vision, image processing, and deep learning.

Familiarity with camera, optics, and lighting technologies.

Experience in manufacturing and industrial automation

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