Summary: The role of Senior/Principal Machine Learning Engineer focuses on developing AI-driven video systems for real-time applications, particularly in medical environments. The engineer will be responsible for enhancing performance on resource-limited devices and collaborating with multidisciplinary teams to integrate machine learning solutions into products. This position requires expertise in real-time video computation and parallel processing, along with a strong foundation in AI and video pipelines. The successful candidate will play a crucial role in advancing next-generation technology in the field of medical applications.

Key Responsibilities:

• Deploy deep learning model results from the ML team into real-time video systems.
• Design and refine AI inference pipelines for high-speed processing on compact hardware.
• Create optimized CUDA kernels for enhanced video and AI performance.
• Work alongside cross-functional teams to seamlessly integrate machine learning solutions into products.
• Follow best practices to develop secure and robust software for medical applications.
• Maintain high coding standards through rigorous testing and peer reviews.

Key Skills:

• Degree in Computer Science, Software Engineering, or a related technical discipline.
• Expertise in TensorFlow or PyTorch.
• Knowledge of ML optimization techniques such as quantization, model pruning, and knowledge distillation.
• Experience developing with CUDA or OpenCL.
• Proficiency in TensorRT, ONNX, and hardware-accelerated inference.
• Strong troubleshooting and problem-solving abilities.
• Ability to create clear, well-structured, and maintainable code.
• Comfortable working independently and taking ownership of development projects.

Salary (Rate): undetermined

City: Greater London

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: Senior

Industry: IT