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- Tasks: Design and develop cutting-edge computer vision systems from concept to launch.
- Company: Join an innovative start-up in Saffron Walden tackling global challenges.
- Benefits: Work in a dynamic environment with potential for remote options and exciting perks.
- Why this job: Be part of a success story, working on life-saving technology with a talented team.
- Qualifications: Ph.D. in Computer Vision or relevant experience; strong skills in Python and machine learning.
- Other info: Must qualify for Security Clearance; diverse and inclusive workplace.
The predicted salary is between 36000 - 60000 £ per year.
A brilliant opportunity for a Computer Vision Engineer to work for an exciting start-up in Saffron Walden, Essex, that is tackling some of the world’s most pressing challenges. The company is founded by a team of brilliant Engineers who have already realised success with other start-ups. This offers the chance to work in an environment filled with technological innovation whilst working on cutting-edge tech. You will apply your expertise in computer vision systems, from initial design through to product launch.
Location: Saffron Walden - on-site
Salary: Negotiable
Requirements for Computer Vision Engineer
- You will be educated to Ph.D. level with a focus on Computer Vision, OR have working experience as a Computer Vision Engineer
- Solid academic history with good grades throughout
- Skilled in building computer vision solutions, with a focus on object detection and motion tracking.
- Knowledgeable in modern machine learning techniques, including convolutional neural networks (CNNs) and transformer models.
- Experience with tracking methods, including the use of Kalman filters.
- Aware of traditional, lower-resource image processing techniques such as blob detection.
- Proficient in Python for developing and implementing solutions.
- Any experience in the following is beneficial: video analysis, optics or working within an agile environment
- Due to the nature of some clients, you must be able to qualify for Security Clearance (this usually means you have been a UK resident for at least 5 years, have a clean criminal record etc)
Responsibilities for Computer Vision Engineer
- Support the design, testing, and validation of optical hardware, including imaging sensors, optical assemblies, and related components.
- Contribute to the creation of solutions for visual monitoring, tracking, and image analysis.
- Adapt and refine image processing workflows to enhance system efficiency and output quality.
- Work closely with cross-functional teams comprising engineering, technical, and product specialists.
- Design tailored algorithms informed by the latest advancements in computer vision.
- Build robust machine vision systems designed to meet stringent performance and reliability standards.
- Plan and manage tasks effectively to ensure the timely delivery of reliable, well-documented outputs.
- Take part in the development and testing of prototypes through to final product launch.
What this offers:
- An opportunity to join a success story in the making with a team who have realised big success in other start-ups
- Working on a cutting-edge stack in a highly innovative environment
- Working on technology that has the potential to save thousands of lives
Applications:
If you would like to enquire about this unique Computer Vision Engineer opportunity, we would love to hear from you. Please send an up-to-date CV including details of your online repository via the relevant link.
We are committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing applications@redtech-recruit.com.
Computer Vision Engineer employer: RedTech Recruitment
Contact Detail:
RedTech Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in computer vision technologies, especially convolutional neural networks and transformer models. Being able to discuss recent developments or projects you've worked on can set you apart during interviews.
✨Tip Number 2
Showcase your practical experience by preparing a portfolio of your previous work in computer vision. Include examples of object detection, motion tracking, and any innovative solutions you've developed, as this will demonstrate your hands-on skills.
✨Tip Number 3
Network with professionals in the field by attending relevant meetups or conferences. Engaging with others in the industry can provide insights into the company culture and may even lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges related to Python and machine learning algorithms. Being well-prepared for these assessments will help you demonstrate your problem-solving abilities and technical expertise effectively.
We think you need these skills to ace Computer Vision Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in computer vision, particularly focusing on object detection, motion tracking, and any specific projects you've worked on. Mention your proficiency in Python and any machine learning techniques you've applied.
Craft a Strong Cover Letter: Write a cover letter that not only showcases your technical skills but also expresses your passion for the role and the company's mission. Discuss how your background aligns with their innovative approach and how you can contribute to their success.
Highlight Relevant Projects: Include links to your online repository or portfolio that demonstrate your work in computer vision. Showcase projects that involved convolutional neural networks, Kalman filters, or any other relevant technologies mentioned in the job description.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. Ensure that all information is clear and concise, as attention to detail is crucial in engineering roles.
How to prepare for a job interview at RedTech Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with computer vision systems in detail. Highlight specific projects where you implemented object detection or motion tracking, and be ready to explain the techniques you used, such as CNNs or Kalman filters.
✨Demonstrate Problem-Solving Abilities
Expect to face technical challenges during the interview. Think through how you would approach real-world problems related to visual monitoring or image analysis, and articulate your thought process clearly.
✨Familiarise Yourself with the Company’s Work
Research the start-up's previous projects and innovations. Understanding their focus areas will allow you to tailor your responses and show genuine interest in their mission and technology.
✨Prepare for Team Collaboration Questions
Since the role involves working closely with cross-functional teams, be ready to discuss your experience in collaborative environments. Share examples of how you’ve successfully worked with engineers, product specialists, or other stakeholders.
