Senior Computer Vision Engineer

Location: London, UK (Hybrid / Flexible)Salary: £70,000 base + OTE up to £140k-£200k in Year 1

We are working with a pioneering technology company at the forefront of sports analytics and artificial intelligence. This is a unique chance to apply your expertise in computer vision and machine learning to real-world challenges - building advanced systems for precise player and pitch detection and tracking during live sports events.

You'll be part of a collaborative, research-driven team where your work will directly influence how millions of fans, teams, and broadcasters experience sport.

Design, implement, and optimize deep learning algorithms for image and video analysisDevelop and enhance computer vision pipelines using both classical methods (OpenCV) and modern techniques (CNNs, detection/segmentation heads)Train, evaluate, and fine-tune models on large datasets, ensuring performance and accuracy in real-time systemsCurate and preprocess data to maximize training effectivenessDeploy models into production environments and monitor their performanceCollaborate closely with engineers, data scientists, and product teams to deliver integrated solutionsStay ahead of emerging trends in AI, CV, and ML, experimenting with innovative approaches

We're looking for someone who thrives at the intersection of research and applied engineering. You enjoy solving complex problems and pushing models into production that have tangible, high-profile impact.

Essential experience:

Strong background in Computer Vision and image/video processingHands-on experience with OpenCV pipelines Proficiency with deep learning frameworks (PyTorch, TensorFlow, Keras)Knowledge of CNN architectures and training dynamicsProven experience deploying and optimizing models for real-time applicationsStrong data science and metrics literacy

Nice to have:

PhD or Master's in Computer Science, AI, or related fieldExperience with sports data, tracking systems, or analytics platformsFamiliarity with cloud platforms (AWS, GCP) and containerization (Docker)

Work on high-impact, real-world projects where your algorithms will be deployed in live sports environmentsJoin a team passionate about research, innovation, and continuous learningCompetitive salary £70k base with exceptional OTE (£140k-£200k Year 1) Opportunity to make your mark in a fast-growing, cutting-edge technology sector

If you're excited by the idea of bringing Computer Vision innovation into live sports and want to be part of a team that's shaping the future of sports technology, we'd love to hear from you.