Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us to create cutting-edge image processing algorithms for a high-performance visual platform.
- Company: Be part of an innovative tech company pushing the boundaries of visual technology.
- Benefits: Enjoy flexible working hours, remote work options, and exciting corporate perks.
- Why this job: This role offers a chance to innovate and make a real impact in tech.
- Qualifications: A background in computer science or related fields is essential; experience with image processing is a plus.
- Other info: Opportunity to work with a dynamic team and advance your skills in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
This position involves researching, developing, and implementing real-time image processing algorithms for a high-performance visualization platform.
Key responsibilities include:
- Developing and optimizing existing image processing algorithms for enhanced visual performance and execution speed.
- Proposing, researching, and developing innovative algorithms relevant to the platform.
Computer Vision Engineer employer: ETS Technical Selection
Contact Detail:
ETS Technical Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision Engineer
✨Tip Number 1
Familiarise yourself with the latest trends and technologies in computer vision. This will not only help you during interviews but also show us that you're genuinely passionate about the field.
✨Tip Number 2
Engage with the computer vision community by attending meetups, webinars, or conferences. Networking can lead to valuable connections and insights that might give you an edge in your application.
✨Tip Number 3
Prepare to discuss specific projects you've worked on that relate to image processing algorithms. Be ready to explain your thought process, challenges faced, and how you overcame them.
✨Tip Number 4
Showcase your coding skills by contributing to open-source projects or creating your own. This demonstrates initiative and practical experience, which we highly value in candidates.
We think you need these skills to ace Computer Vision Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in image processing and computer vision. Include specific projects or technologies you've worked with that align with the job description.
Craft a Strong Cover Letter: In your cover letter, express your passion for computer vision and detail how your skills can contribute to the company's goals. Mention any innovative algorithms you've developed or optimised in the past.
Showcase Relevant Projects: If you have worked on projects involving real-time image processing or algorithm development, include them in your application. Provide links to your portfolio or GitHub if applicable.
Highlight Problem-Solving Skills: Emphasise your ability to propose and research innovative solutions. Use examples from your previous work where you successfully tackled challenges in image processing or algorithm optimisation.
How to prepare for a job interview at ETS Technical Selection
✨Showcase Your Technical Skills
Be prepared to discuss your experience with image processing algorithms in detail. Bring examples of projects you've worked on, and be ready to explain the challenges you faced and how you overcame them.
✨Stay Updated on Industry Trends
Research the latest advancements in computer vision and image processing. Being knowledgeable about current trends will demonstrate your passion for the field and your commitment to continuous learning.
✨Prepare for Problem-Solving Questions
Expect technical questions that require you to solve problems on the spot. Practice coding challenges related to image processing algorithms, as this will help you think critically and articulate your thought process during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and future directions in computer vision. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
