AI Research Scientist (Computer Vision)
- reading, berkshire, RG1 1DT, United Kingdom
- Full time
- Hybrid
- £78,000 - £78,000 Per Annum
Job Description
About the Role
Our client is seeking a highly motivated AI Research Scientist with a specialization in Computer Vision to join their leading-edge research team in Reading . This role offers the exciting opportunity to conduct foundational and applied research in areas such as image recognition, object detection, generative models, and 3D vision. You will contribute to pioneering projects, publish groundbreaking findings, and collaborate with world-class talent. The ideal candidate is driven by curiosity, possesses a deep understanding of AI principles, and is eager to tackle complex visual challenges with innovative solutions.
Key Responsibilities
- Conduct cutting-edge research in computer vision and deep learning.
- Develop novel algorithms and models for image analysis, recognition, and generation.
- Implement and evaluate research prototypes, potentially leading to product integration.
- Publish research findings in top-tier conferences and journals.
- Collaborate with cross-functional teams to translate research into practical applications.
- Stay informed about the latest advancements in AI and computer vision research.
Requirements
- Ph.D. or Master's degree in Computer Science, Electrical Engineering, AI, or a related field, with a strong focus on Computer Vision.
- Proven track record of research excellence in computer vision, demonstrated by publications in reputable venues.
- Deep expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV).
- Proficiency in programming languages such as Python and C++.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
Benefits
- Highly competitive salary and bonus structure.
- Comprehensive benefits package including health, dental, and vision coverage.
- Generous opportunities for professional development, training, and conference attendance.
- Access to state-of-the-art research facilities and computational resources.
- Hybrid work model in Reading , offering a balance of in-office collaboration and remote flexibility.


