Senior Machine Learning Engineer - Computer Vision

About the Role

Our client is at the forefront of innovation within the AI & Emerging Technologies sector, seeking a highly skilled Senior Machine Learning Engineer with a specialization in Computer Vision . This pivotal role will be based in our vibrant London office. You will spearhead the development of cutting-edge computer vision models and algorithms, contributing directly to products that are shaping the future of artificial intelligence. This position offers a unique opportunity to work with large datasets, advanced deep learning frameworks, and a team of world-class researchers and engineers in a dynamic and collaborative environment.

Key Responsibilities

• Design, implement, and deploy sophisticated computer vision models using deep learning techniques (e.g., CNNs, Transformers).
• Develop and optimize algorithms for object detection, image segmentation, facial recognition, and video analysis.
• Collaborate with data scientists and software engineers to integrate ML models into production systems and pipelines.
• Conduct rigorous experimentation and analysis to evaluate model performance and identify areas for improvement.
• Stay abreast of the latest research and advancements in AI and computer vision, applying them to solve complex business problems.
• Mentor junior engineers and contribute to the team's technical growth and knowledge sharing.

Requirements

• Master's or Ph.D. in Computer Science, AI, or a related quantitative field.
• 5+ years of hands-on experience in machine learning engineering , with a strong focus on computer vision.
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, and OpenCV.
• Experience with cloud platforms (AWS, Azure, GCP) for model training and deployment.
• Demonstrated experience with data preprocessing, feature engineering, and model evaluation.
• Excellent problem-solving abilities and strong communication skills for technical collaboration.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive private healthcare coverage including dental and vision.
• Generous pension scheme and life assurance.
• Significant opportunities for professional development, attending conferences, and further training.
• Hybrid working model allowing for a flexible work-life balance.
• Access to state-of-the-art research facilities and computational resources.