Vision Systems Engineer

Didcot
8 months ago
Applications closed

Related Jobs

View all jobs

Computer Vision Engineer

Computer Vision Physicist / Engineer

Computer Vision Physicist / Engineer

Senior Computer Vision Engineer

Senior Computer Vision Engineer

SVP AI and Computer Vision

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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Education Jobs

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Jobs

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.