Machine Learning Engineer – Computer Vision

Machine Learning Engineer – Computer Vision
Permanent | £80,000 – £130,000 | London

We are seeking a Machine Learning Engineer to join a growing technology company focused on transforming legacy sensor systems into real-time operational intelligence. This role will play a key part in developing advanced computer vision capabilities including scene understanding, object detection, tracking, and 3D reconstruction from edge-deployed sensors.

You will work closely with product and backend engineering teams to evaluate state-of-the-art research, build efficient inference pipelines, and deploy production-grade computer vision models into real-world environments.

Key Responsibilities

• Develop and optimise computer vision models for real-time applications
• Build capabilities across object detection, tracking, depth estimation, scene understanding, and 3D reconstruction
• Evaluate and benchmark state-of-the-art research models for production use
• Design and maintain scalable inference pipelines for edge-deployed systems
• Collaborate with backend and product teams to integrate ML solutions into production platforms
• Contribute to architectural decisions and technical direction within the ML/CV stack
• Support deployment and optimisation workflows for production inference systems
• Mentor engineers and contribute to engineering best practices within the team

Skills & Experience

• Strong understanding of modern computer vision techniques including object detection, tracking, SLAM, depth estimation, and 3D geometry
• Experience deploying machine learning and computer vision models into production environments
• Hands-on experience with PyTorch, Torchvision, OpenCV, and related ML tooling
• Experience optimising inference pipelines and working with deployment frameworks such as ONNX or TensorRT
• Ability to evaluate academic research and translate findings into practical product capabilities
• Strong architectural and problem-solving skills with the ability to work autonomously
• Comfort operating in fast-moving environments with evolving technical requirements
• Must be eligible for SC clearance
• Experience working with edge-deployed sensor systems or real-time video processing
• Knowledge of efficient GPU inference and model optimisation techniques
• Experience leading technical initiatives or mentoring engineers
• Familiarity with experiment tracking and ML tooling such as PyTorch Lightning or Weights & Biases
• Experience building privacy-focused or security-focused AI systems

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