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For Companies At a Glance
- 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 on life-saving technology with a dynamic team and flexible salary options.
- Why this job: Be part of a success story, working with advanced tech in a collaborative environment.
- Qualifications: Ph.D. in Computer Vision or relevant experience; strong skills in Python and machine learning.
- Other info: Must qualify for Security Clearance; inclusive recruitment process available.
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 video analysis, optics or working within an agile environment is beneficial.
- 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.
Computer Vision Engineer employer: RedTech Recruitment Ltd
Contact Detail:
RedTech Recruitment Ltd 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. Being able to discuss recent developments or breakthroughs during your interview can demonstrate your passion and commitment to the field.
✨Tip Number 2
Showcase your practical experience by preparing examples of projects where you've successfully implemented computer vision solutions. Be ready to explain your thought process, challenges faced, and how you overcame them.
✨Tip Number 3
Network with professionals in the computer vision community. Attend relevant meetups or online forums to connect with others in the field, which could lead to valuable insights or even referrals for the position.
✨Tip Number 4
Research the company’s previous projects and their impact. Understanding their mission and how your skills align with their goals will help you articulate why you're a great fit during the interview.
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, machine learning techniques, and any specific projects you've worked on. Emphasise your skills in Python and any experience with object detection or motion tracking.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for computer vision and the innovative work being done at the company. Mention how your background aligns with their mission and the specific challenges they are tackling.
Showcase Your Projects: Include links to your online repository or portfolio that demonstrates your previous work in computer vision. Highlight any algorithms or systems you've developed, especially those related to image processing or tracking methods.
Highlight Relevant Qualifications: Clearly state your educational background, particularly if you have a Ph.D. in a related field. If you have working experience as a Computer Vision Engineer, detail this experience and any significant achievements in your role.
How to prepare for a job interview at RedTech Recruitment Ltd
✨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 of examples where you adapted image processing workflows or designed algorithms to solve complex problems. This will show your ability to think critically and innovate.
✨Familiarise Yourself with the Company’s Work
Research the start-up's projects and technologies. Understanding their focus on cutting-edge tech and how it relates to your skills will help you tailor your responses and demonstrate genuine interest in their mission.
✨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 effectively communicated and worked with engineers, product specialists, or other stakeholders.
