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- Tasks: Join a dynamic team to develop innovative ML-based computer vision and video management systems.
- Company: Work with a cutting-edge software solutions company focused on telematics and computer vision.
- Benefits: Engage in R&D, with opportunities for innovation and hands-on project delivery.
- Why this job: Be part of exciting projects that blend technology and creativity, making a real impact.
- Qualifications: Proven Full Stack Developer experience, ideally with telematics or computer vision expertise.
- Other info: Office-based role in Nottingham; relocation support available for the right candidate.
The predicted salary is between 36000 - 60000 £ per year.
Cutting-edge computer vision and telematics software solutions company are looking to hire a Full Stack Developer.
You will be working as part of a growing team, focusing on R&D and product development of innovative ML based computer vision and video management systems. This will involve developing cloud based apps, video streaming apps and web-based video management systems, particularly for vehicle-based platforms.
You will play a crucial role in every stage of the software development lifecycle, from conceptualization to deployment.
Key skills/experience required:
- Proven track record as a Full Stack Developer. Ideally with experience in developing and deploying telematics or computer vision software products.
- Expertise in back-end development – particularly Python, Django, PHP, Laravel
- Proficiency in front-end languages + libraries eg HTML/CSS/JavaScript
- Experience in integrating computer vision algorithms into both backend & frontend
- Familiarity with computer vision libraries and frameworks such as OpenCV, TensorFlow, and PyTorch.
- Knowledge of databases (e.g., MySQL, MongoDB), web servers (e.g., Apache), and UI/UX design principles.
- Relevant BSc /MSc degree eg Computer Science, ML, Computer Vision or a relevant tech subject.
This is a predominantly office based role, so you will need to live within commutable distance of Nottingham, or willing to relocate.
Great opportunity to work on some very leading edge projects, where you can research and innovate, as well as delivering working commercial products.
If you are interested, please contact Matt Andrews at IC Resources for more info!
Contact Detail:
IC Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Developer - Computer vision
✨Tip Number 1
Familiarise yourself with the latest trends in computer vision and telematics. Being able to discuss recent advancements or projects during your interview can demonstrate your passion and knowledge in the field, making you a more attractive candidate.
✨Tip Number 2
Showcase your experience with relevant technologies by preparing examples of past projects. Be ready to explain how you've integrated computer vision algorithms into applications, as this will highlight your practical skills and understanding of the role.
✨Tip Number 3
Network with professionals in the computer vision and telematics sectors. Attend meetups or online forums where you can connect with others in the industry, which may lead to valuable insights or even referrals for the position.
✨Tip Number 4
Research StudySmarter and our projects to understand our mission and values. Tailoring your conversation to align with what we do can show that you're genuinely interested in joining our team and contributing to our innovative work.
We think you need these skills to ace Full Stack Developer - Computer vision
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Full Stack Developer, particularly in computer vision and telematics. Include specific projects where you've used Python, Django, or any relevant technologies mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for R&D and product development in computer vision. Mention how your skills align with the company's focus on innovative ML-based solutions and provide examples of your previous work.
Showcase Relevant Projects: If you have worked on projects involving cloud-based apps, video streaming, or integrating computer vision algorithms, be sure to include these in your application. Provide links to your portfolio or GitHub if applicable.
Highlight Your Educational Background: Mention your BSc/MSc degree in Computer Science, ML, or a related field prominently in your application. This will demonstrate your foundational knowledge and commitment to the tech industry.
How to prepare for a job interview at IC Resources
✨Showcase Your Full Stack Experience
Be prepared to discuss your previous projects as a Full Stack Developer. Highlight specific examples where you developed both front-end and back-end components, especially in relation to telematics or computer vision software.
✨Demonstrate Your Knowledge of Computer Vision
Familiarise yourself with the latest trends and technologies in computer vision. Be ready to explain how you've integrated algorithms into applications, and mention any relevant libraries like OpenCV or TensorFlow that you've worked with.
✨Prepare for Technical Questions
Expect technical questions related to Python, Django, PHP, and other technologies mentioned in the job description. Brush up on your coding skills and be ready to solve problems on the spot, as this will demonstrate your proficiency.
✨Understand the Company’s Products
Research the company’s existing products and projects. Understanding their focus on R&D and innovative solutions will help you align your answers with their goals and show your genuine interest in the role.
