4 of 4 Computer Vision Jobs in Bristol

What you will do as a Senior ML Engineer Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics. Own the ML lifecycle from data preparation through training, evaluation, and deployment. Implement and maintain MLOps workflows for continuous integration and delivery of ML models. … developing and deploying machine learning models in production environments. Proven experience with the OpenCV framework and various object detection models, including YOLO, RCNN, and Vision models, along with a clear understanding of when to apply each model. Proficiency with object detection concepts. Experience in video analysis, particularly optical flow ...

diagnostics, performance optimisation, secure and robust systems, Linux build systems (e.g. Yocto), media pipelines (e.g. GStreamer), FFMPEG, IoT devices, sensor data processing, signal conditioning, computer vision, FPGA exposure, electronics fundamentals. Platform Engineering Cloud infrastructure, AWS, distributed systems, backend services, RESTful APIs, microservices architecture, service integration, data pipelines, storage … tools (GitHub Workflows), Git, Python development, Python testing frameworks (pytest, unittest), JavaScript knowledge (Node.js), RabbitMQ, FFMPEG, Linux systems administration Machine Learning Applied machine learning, computer vision, object detection, image classification, model development and evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance ...

Docker, Linux/Unix CLI, Git, and testing Understanding of modern AI approaches, including: Agentic AI systems RAG (Retrieval Augmented Generation) Graph-based approaches Computer vision, audio, or multimodal models Knowledge of data governance and security best practices Strong communication and problem-solving capability Ability to work effectively ...

engineering and deployment Tech Focus Python, Docker, Linux, Git AWS or Azure CI/CD and MLOps pipelines Exposure to RAG, computer vision, or multimodal AI Why Apply? Work on next-generation AI use cases Strong focus on innovation and career progression Opportunity to lead and shape technical ...