Senior Machine Learning Engineer - Computer Vision
- birmingham, west midlands, B1 1BB, United Kingdom
- Hybrid
- Full time
- £80,000 - £80,000 Per Annum
Job Description
About the Role
Our client is seeking a highly skilled Senior Machine Learning Engineer specializing in Computer Vision to join their innovative R&D team in Birmingham . You will be instrumental in designing, developing, and deploying advanced computer vision models and solutions that drive our product development. This role requires a deep understanding of deep learning frameworks, image processing techniques, and the ability to translate complex research into practical, scalable applications. You will work in a collaborative environment, pushing the boundaries of what's possible with AI and contributing to groundbreaking projects that have a significant impact on our industry.
Key Responsibilities
- Design, train, and optimize deep learning models for image recognition, object detection, segmentation, and other computer vision tasks.
- Implement and deploy machine learning models into production environments, ensuring scalability and efficiency.
- Conduct research into novel computer vision algorithms and techniques, staying abreast of the latest advancements.
- Collaborate with software engineers and data scientists to integrate computer vision capabilities into existing and new products.
- Evaluate model performance, troubleshoot issues, and iterate on solutions to improve accuracy and robustness.
- Contribute to the team's knowledge base through documentation, code reviews, and technical presentations.
Requirements
- Master's or Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a related quantitative field.
- 5+ years of hands-on experience in developing and deploying computer vision models.
- Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong understanding of image processing, feature extraction, and traditional computer vision techniques.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
Benefits
- Competitive salary and bonus structure.
- Hybrid working model offering flexibility between office and home.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and holiday schedule.
- Access to state-of-the-art hardware and software for research and development.


