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- Tasks: Design and deploy advanced vision models for real-world applications in retail and mobility.
- Company: Join a cutting-edge AI company focused on innovative visual technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact with your skills in a dynamic, collaborative environment.
- Qualifications: 5-7 years in Computer Vision, strong Python and PyTorch skills required.
- Other info: Exciting projects with a highly skilled team and room for innovation.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a Senior Computer Vision / Multimodal Engineer to design, train, and deploy advanced vision models for object detection, segmentation, tracking, and behaviour analysis within real-world retail and mobility environments. You will play a key role in optimizing real-time performance for edge and cloud systems, developing robust inference pipelines, and pushing the boundaries of multimodal AI. This is an exciting opportunity to work on cutting-edge visual AI that impacts real-world applications, collaborating with a highly skilled team of data scientists, engineers, and product experts.
Key Responsibilities
- Design, train, and deploy Computer Vision models for detection, segmentation, tracking, and behaviour understanding.
- Optimize inference pipelines for real-time performance on edge devices (e.g., NVIDIA Jetson, Coral) and cloud infrastructure.
- Collaborate with data and product teams to define new use cases, prototype solutions, and take models from lab to production.
- Develop synthetic data generation pipelines and augmentation strategies to enhance robustness across lighting conditions, formats, and environments.
- Research and integrate state-of-the-art Vision Transformers (ViTs), Large Vision Models (LVMs), and Multimodal AI into production workflows.
- Work with CCTV and multi-camera systems for tracking, localization, and behaviour analytics.
- Build proof-of-concept systems, perform real-world validation, and continuously improve accuracy and performance.
Requirements
- 5–7 years of experience in Computer Vision and Deep Learning with deployed production models.
- Strong proficiency in Python and PyTorch; hands-on experience with OpenCV, TensorRT, ONNX, or Triton.
- Proven expertise in object detection/tracking models such as YOLO, Deep SORT, DINOv2, or similar.
- Experience with real-time or low-latency processing, multi-threaded programming, and performance tuning.
- Experience deploying and optimizing models on edge devices (Jetson, Coral, etc.).
- Demonstrated passion for research, innovation, and emerging AI technologies.
- Experience in 3D modeling or video behaviour analytics is a plus.
ONLY CANDIDATES WITH THE REQUIRED SKILLS AND EXPERIENCE SHOULD APPLY TO THIS JOB.
Senior Computer Vision employer: Astek International
Contact Detail:
Astek International Recruiting Team
We think you need these skills to ace Senior Computer Vision
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Computer Vision and Deep Learning. We want to see how your skills align with the job description, so don’t be shy about showcasing your projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about visual AI and how your background makes you a perfect fit for our team. Keep it engaging and relevant to the role.
Showcase Your Technical Skills: Since we’re looking for someone with strong proficiency in Python and PyTorch, make sure to mention any relevant projects or experiences. If you've worked with models like YOLO or Deep SORT, let us know!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our cutting-edge team!
How to prepare for a job interview at Astek International
✨Know Your Models Inside Out
Make sure you can discuss the computer vision models you've worked with in detail. Be prepared to explain how you designed, trained, and deployed them, especially focusing on object detection and segmentation techniques. Highlight your experience with specific models like YOLO or Deep SORT, as well as any challenges you faced and how you overcame them.
✨Showcase Your Technical Skills
Brush up on your Python and PyTorch skills before the interview. Be ready to demonstrate your proficiency with tools like OpenCV and TensorRT. You might be asked to solve a technical problem on the spot, so practice coding challenges related to real-time processing and performance tuning to show you can think on your feet.
✨Discuss Real-World Applications
Prepare examples of how your work has impacted real-world applications, particularly in retail or mobility environments. Talk about any projects where you collaborated with data and product teams to define use cases and prototype solutions. This will show that you understand the practical implications of your work and can contribute to the company's goals.
✨Stay Updated on Emerging Technologies
Demonstrate your passion for research and innovation by discussing the latest trends in AI and computer vision. Be ready to talk about Vision Transformers and Multimodal AI, and how you see these technologies shaping the future. Showing that you're proactive about learning will impress the interviewers and highlight your commitment to the field.