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For Companies At a Glance
- Tasks: Join a dynamic team to design and support cutting-edge machine vision applications.
- Company: Innovative leader in inspection machines and AI vision systems since 2000.
- Benefits: Enjoy 25 days annual leave, health insurance, and a collaborative work environment.
- Why this job: Gain hands-on experience in automation and engineering while working on impactful projects.
- Qualifications: Degree in Engineering or related field; 2 years of industry experience required.
- Other info: This is a full-time, on-site role in Harwell, Didcot.
The predicted salary is between 36000 - 60000 £ per year.
Since their inception in 2000, our client has led the change in revolutionising the world of inspection machines and artificial intelligence vision system products. Operating from the UK, they have expanded their 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. They are now looking for an experienced Applications Engineer who can work effectively as part of an experienced engineering team to learn, design, document, manage, integrate, commission and support machine vision applications across various industries. The candidate has the opportunity to develop automation, mechanical, and electrical skills, as well as all aspects of general industrial automation control and design.
Please note this role is fully on-site, so suitable applicants must be willing to commute to Harwell, Didcot, Monday to Friday.
Main Duties & Responsibilities:- Learn and become experienced with machine vision graphical user interface (GUI) software packages.
- Learn and become experienced with machine vision technology, such as PCs, cameras, optics, lighting, filters and image processing methods.
- Design machine vision applications with machine vision software and hardware.
- Manage projects, work with team members, and communicate with suppliers and customers.
- Manage projects to focus on delivering them on time and within budget.
- Responsible for updating internal project documentation, ensuring information is reliable for purchase, traceability, and project metrics analysis.
- Create specifications and test studies for the design of machine vision applications.
- Document mechanical, electrical and communication specifications for smaller machine vision systems.
- Document technical files for larger machine vision systems.
- Work with the engineering team to manage and deliver projects on time.
- Assist the team with the production of machines and systems.
- Integrate and factory acceptance test machine vision systems and machines on-site.
- Integrate, commission and site acceptance test machine vision systems and machines at customer sites.
- Provide training and support for machine vision machines and systems, either remotely or at the customer site.
- Create machine vision solutions for use in customer demonstrations, evaluations and proposals.
- Minimum of 2 years of engineering industry experience.
- Educated to degree level in an Engineering discipline or related field (2.1 or above).
- Ability to problem solve, be organised, work to deadlines and maintain a high attention to detail.
- Clean and full UK driving licence.
- Knowledge of machine vision, image processing and deep learning.
- Knowledge of camera, optics and lighting technology.
- Experience in manufacturing and industrial automation.
Please note this is a full-time, permanent role working fully on-site, Monday to Friday. 25 days Annual Leave + Bank Holidays Company Health Insurance.
Please contact Matt Hartwell on 07301283663 or email your CV to matt.hartwell@forcerecruitment.com for a confidential chat.
Contact Detail:
Force Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applications Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in machine vision technology. Understanding the current advancements in image processing, optics, and lighting will not only boost your confidence but also demonstrate your genuine interest in the field during discussions.
✨Tip Number 2
Network with professionals in the engineering and machine vision sectors. Attend industry events or join relevant online forums to connect with others who can provide insights or even referrals for the Applications Engineer role.
✨Tip Number 3
Prepare to discuss specific projects you've worked on that relate to machine vision applications. Be ready to explain your role, the challenges you faced, and how you overcame them, as this will showcase your problem-solving skills and experience.
✨Tip Number 4
Research the company thoroughly. Understand their products, services, and market position. This knowledge will help you tailor your conversations and show that you're genuinely interested in contributing to their success.
We think you need these skills to ace Applications Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in engineering, particularly in machine vision and automation. Emphasise any specific projects you've worked on that relate to the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine vision technology. Mention your problem-solving skills and ability to work within a team, as these are key aspects of the role.
Highlight Relevant Skills: In your application, clearly outline your technical skills related to machine vision, image processing, and any experience with GUI software. This will demonstrate your suitability for the position.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for this role.
How to prepare for a job interview at Force Recruitment
✨Understand Machine Vision Technology
Familiarise yourself with the basics of machine vision technology, including cameras, optics, and image processing methods. This knowledge will help you demonstrate your enthusiasm and understanding of the field during the interview.
✨Showcase Your Project Management Skills
Be prepared to discuss your experience in managing projects, especially in terms of delivering on time and within budget. Highlight specific examples where you successfully coordinated with team members and communicated effectively with suppliers and customers.
✨Prepare for Technical Questions
Expect technical questions related to machine vision applications and automation. Brush up on relevant software packages and be ready to explain how you would approach designing and documenting machine vision systems.
✨Demonstrate Problem-Solving Abilities
During the interview, provide examples of how you've tackled engineering challenges in the past. Emphasise your ability to problem-solve, stay organised, and maintain attention to detail, as these are crucial skills for the role.
