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- Tasks: Join a skilled team to design and implement cutting-edge machine vision solutions.
- Company: Be part of a leading firm transforming factory automation since 2000.
- Benefits: Gain hands-on experience, work with top manufacturers, and enjoy a collaborative environment.
- Why this job: Dive into innovative technology while making a real impact across various industries.
- Qualifications: Degree in engineering and 2 years' industry experience required; problem-solving skills essential.
- Other info: Opportunities for training and technical support roles available.
The predicted salary is between 36000 - 60000 £ per year.
Ready to work at the cutting edge of machine vision technology?
We are looking for an Applications Engineer to join a leading business that has been transforming the world of vision systems and factory automation since 2000. From medical designs to industrial automation, they design, build, and integrate machine vision systems for some of the world's biggest manufacturers.
You'll be part of a highly skilled engineering team, learning and applying your knowledge to deliver end-to-end machine vision solutions across a variety of industries.
What you'll do:
- Learn and develop expertise with machine vision hardware and software.
- Design machine vision applications using cameras, optics, lighting, filters, and image processing systems.
- Manage projects from concept through to commissioning and customer handover.
- Create detailed technical documentation, including specifications and test studies.
- Work directly with suppliers, customers, and internal teams to ensure on-time, on-budget delivery.
- Support the production, integration, and testing of machine vision systems both in-house and on customer sites.
- Provide training and technical support to end-users, both remotely and on-site.
- Support pre-sales demonstrations and technical evaluations for potential clients.
What you'll need:
- Minimum 2 years' engineering industry experience.
- Degree-qualified in an engineering discipline (2.1 or above).
- Problem solver with strong attention to detail and ability to meet deadlines.
- Excellent communication skills, both written and verbal.
- Comfortable working independently and as part of a team.
- Full UK driving licence.
It'd be great if you also had:
- Experience with machine vision, image processing, or deep learning.
- Knowledge of cameras, optics, lighting, and related technologies.
- Background in manufacturing or industrial automation environments.
About Us:
At Thomas Lee Recruitment, we specialise in connecting engineers and technical salespeople with leading companies in the engineering sector. We pride ourselves on offering a personalised, professional, and transparent recruitment service. Our focus is on understanding both client and candidate needs to ensure the best possible match.
How to Apply:
All applications will be responded to. Please ensure you have the right to work in the UK before applying. By applying for this role, you accept our Terms & Conditions, Privacy Policy, and Disclaimers, which can be found on our website.
Applications Engineer - Machine Vision Technology employer: Thomas Lee Recruitment
Contact Detail:
Thomas Lee Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applications Engineer - Machine Vision Technology
✨Tip Number 1
Familiarise yourself with the latest trends in machine vision technology. This will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the industry through platforms like LinkedIn. Engaging with others can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss specific projects or experiences where you've applied machine vision technology. Real-world examples can showcase your problem-solving skills and technical expertise.
✨Tip Number 4
Research the company’s previous projects and clients. Understanding their work will allow you to tailor your conversation and show how you can contribute to their success.
We think you need these skills to ace Applications Engineer - Machine Vision Technology
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in engineering, particularly in machine vision technology. Emphasise any projects or roles where you've designed or implemented machine vision systems.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine vision technology and your problem-solving skills. Mention specific experiences that align with the job description, such as managing projects or creating technical documentation.
Highlight Technical Skills: In your application, clearly outline your technical skills related to machine vision, image processing, and any relevant software or hardware you have worked with. This will demonstrate your capability to fulfil the role effectively.
Prepare for Potential Questions: Think about how you would answer questions related to your experience with machine vision technology and project management. Be ready to discuss specific examples that showcase your expertise and communication skills.
How to prepare for a job interview at Thomas Lee Recruitment
✨Showcase Your Technical Knowledge
Make sure to brush up on your understanding of machine vision technology, including hardware and software. Be prepared to discuss specific projects or experiences where you've applied this knowledge, as it will demonstrate your expertise and passion for the field.
✨Prepare for Problem-Solving Questions
Given the role's focus on problem-solving, expect questions that assess your analytical skills. Think of examples from your past work where you successfully tackled challenges, particularly in engineering or project management.
✨Highlight Communication Skills
Since the position involves working with various stakeholders, emphasise your communication abilities. Prepare to discuss how you've effectively communicated technical information to non-technical audiences or collaborated with teams to achieve project goals.
✨Demonstrate Project Management Experience
Be ready to talk about your experience managing projects from concept to completion. Highlight any relevant tools or methodologies you've used, and be specific about your role in ensuring timely and budget-friendly delivery.
