At a Glance
- Tasks: Design and develop cutting-edge computer vision systems from concept to launch.
- Company: Exciting start-up in Saffron Walden tackling global challenges.
- Benefits: Competitive salary, innovative environment, and the chance to save lives with technology.
- Other info: Dynamic role with opportunities for growth and collaboration in a diverse team.
- Why this job: Join a successful team and work on impactful projects in tech innovation.
- Qualifications: Masters or PhD in Computer Vision or relevant experience required.
The predicted salary is between 30000 - 60000 £ per year.
A brilliant opportunity for a Computer Vision Engineer or Masters Graduate 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 knowledge in computer vision systems, from initial design through to product launch. This role is open to both experienced Computer Vision Engineers and Masters Grads with relevant academic project experience on Computer Vision.
Location: Saffron Walden, on-site
Salary: £30,000 to £60,000 per annum
Requirements for Computer Vision Engineer:
- You will either be educated to PhD level in Computer Vision or a related field, OR hold a Masters degree with strong academic project experience in computer vision, OR have proven industry experience as a Computer Vision Engineer.
- This company values a solid academic history (i.e. top Uni with good grades throughout, AAA at A Level etc).
- 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.
- Ideally you'll have 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 willing and eligible to qualify for UK 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 that has 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.
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.
Computer Vision Engineer - Graduate Considered employer: RedTech Recruitment Ltd
Join an innovative start-up in Saffron Walden, Essex, where you'll work alongside a team of accomplished engineers on cutting-edge technology that addresses some of the world's most pressing challenges. This role offers a dynamic work culture that fosters creativity and collaboration, with ample opportunities for professional growth and development in the rapidly evolving field of computer vision. Be part of a success story in the making, contributing to solutions that have the potential to save lives while enjoying a competitive salary and a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Computer Vision Engineer - Graduate Considered
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those in computer vision. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in computer vision. Whether it’s GitHub repos or a personal website, make sure potential employers can see what you can do. This is your chance to shine beyond just your CV!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with object detection, motion tracking, and machine learning techniques. Practise coding challenges related to Python and computer vision to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people. Let’s get you that dream job!
We think you need these skills to ace Computer Vision Engineer - Graduate Considered
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Computer Vision Engineer role. Highlight your relevant academic projects and any experience with object detection, motion tracking, and Python programming. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include links to your online repository or any projects you've worked on that demonstrate your computer vision skills. This gives us a chance to see your work in action and understand your approach to problem-solving.
Be Clear and Concise:When writing your application, keep it clear and concise. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate straightforward communication!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it helps us keep everything organised!
How to prepare for a job interview at RedTech Recruitment Ltd
✨Know Your Tech
Make sure you brush up on your knowledge of computer vision systems, especially object detection and motion tracking. Be ready to discuss any relevant academic projects or experiences you've had, particularly those involving convolutional neural networks and Kalman filters.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in previous projects. Think of specific examples where you adapted image processing workflows or designed algorithms that improved system efficiency. This will demonstrate your ability to contribute to their innovative environment.
✨Familiarise Yourself with the Company
Research the start-up and its founders. Understanding their previous successes and the technology they’re working on will help you align your answers with their goals. It shows genuine interest and can set you apart from other candidates.
✨Practice Your Communication
Since you'll be working closely with cross-functional teams, practice explaining complex technical concepts in simple terms. Being able to communicate effectively with non-technical team members is just as important as your technical skills.