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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 with innovative technology and work on diverse projects.
- Why this job: Exciting opportunity to learn, innovate, and impact various industries with your skills.
- Qualifications: Degree in engineering and 2 years' industry experience required; problem-solving skills essential.
- Other info: Full UK driving licence needed; experience in machine vision is a plus.
The predicted salary is between 28800 - 43200 £ 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, making you a more attractive candidate.
✨Tip Number 2
Network with professionals in the machine vision and automation sectors. Attend industry events or join relevant online forums to connect with potential colleagues and learn about job opportunities that may not be advertised.
✨Tip Number 3
Prepare to discuss specific projects you've worked on that relate to machine vision applications. Being able to articulate your hands-on experience will set you apart from other candidates.
✨Tip Number 4
Showcase your problem-solving skills by preparing examples of challenges you've faced in previous roles. Highlighting your ability to overcome obstacles will resonate well with hiring managers looking for a proactive Applications Engineer.
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 or related fields. Emphasise any projects you've managed and your problem-solving skills.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine vision technology. Mention specific experiences that align with the job description, such as your familiarity with cameras, optics, and image processing systems.
Highlight Communication Skills: Since excellent communication is key for this role, provide examples in your application of how you've effectively communicated technical information to both technical and non-technical audiences.
Showcase Project Management Experience: Detail any project management experience you have, especially in engineering contexts. Discuss how you've managed projects from concept to delivery, ensuring on-time and on-budget results.
How to prepare for a job interview at Thomas Lee Recruitment
✨Showcase Your Technical Knowledge
Be prepared to discuss your experience with machine vision hardware and software. Highlight specific projects where you've designed applications using cameras, optics, and image processing systems.
✨Demonstrate Problem-Solving Skills
Expect questions that assess your problem-solving abilities. Share examples of challenges you've faced in previous roles and how you successfully resolved them, particularly in engineering contexts.
✨Communicate Clearly
Since excellent communication skills are essential for this role, practice articulating your thoughts clearly and concisely. Be ready to explain complex technical concepts in a way that is easy to understand.
✨Prepare for Project Management Questions
As the role involves managing projects from concept to commissioning, be ready to discuss your project management experience. Talk about how you ensure on-time and on-budget delivery while collaborating with various stakeholders.
