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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 on life-saving technology with a flexible, creative team environment.
- Why this job: Be part of a success story and contribute to impactful tech solutions.
- Qualifications: Ph.D. in Computer Vision or relevant experience; strong Python skills required.
- Other info: Must qualify for Security Clearance; inclusive recruitment process.
The predicted salary is between 36000 - 60000 £ per year.
Computer Vision Engineer 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\’re 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 (if this email address has been removed by the job-board, full details for contact are available on our website). *********************************************************************************************** RedTech Recruitment Ltd focuses on finding roles for Engineers and Scientists. Even if the above role isn’t of interest, please visit our website to see our other opportunities. We are an equal-opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Keywords– Computer Vision Engineer / Machine Vision Engineer / Imaging Scientist / AI Engineer / Vision Systems Developer / Image Processing Engineer / Deep Learning Engineer / Optical Systems Engineer / Tracking Algorithm Specialist / Sensor Integration Engineer / R&D Engineer / ML Engineer / Algorithm Developer / Vision Software Engineer / Embedded Vision Engineer / Object Detection / Kalman Filter / Python / Blob Detection / Optical Components / AI/ML/CV Development Engineer / AI Software Engineer / Machine Learning Engineer / Computer Vision Engineer / AI Research Engineer / ML Research Engineer / Computer Vision Software Developer
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 well-versed in current trends and breakthroughs will not only enhance your knowledge but also demonstrate your passion for the field during discussions with potential employers.
✨Tip Number 2
Engage with online communities and forums related to computer vision and machine learning. Networking with professionals in these spaces can provide valuable insights, job leads, and even mentorship opportunities that could help you land the role.
✨Tip Number 3
Showcase your skills through personal projects or contributions to open-source initiatives. Having a portfolio that highlights your expertise in object detection, motion tracking, and Python programming can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and problem-solving scenarios relevant to computer vision. Being able to demonstrate your thought process and technical skills in real-time can significantly boost your chances of impressing the interviewers.
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 are familiar with.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs, especially your experience with optical hardware and image processing workflows. Be sure to mention your ability to work in cross-functional teams.
Showcase Your Projects: Include links to your online repository or portfolio that showcases your previous work in computer vision. Highlight any algorithms you've designed or systems you've built, particularly those that demonstrate your skills in machine vision and image analysis.
Highlight Relevant Qualifications: Clearly state your educational background, especially if you hold a Ph.D. in a related field. If you have working experience as a Computer Vision Engineer, detail this experience and any relevant certifications or training that support your application.
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 they are working on. Understanding their focus areas will allow you to tailor your responses and demonstrate genuine interest in contributing to 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 effectively communicated and worked with engineers, product specialists, and other stakeholders.
