Senior Computer Vision Engineer- UK
RemoteUnited Kingdom
EXPIREDUnited KingdomRemotePart TimeSenior LevelSmall
Part TimeSenior LevelSmall
Job Summary
Design and improve end-to-end detection and segmentation pipelines for construction document images, focusing on geometric accuracy and reliability with messy real-world PDFs. Integrate modern models into production workflows, manage training infrastructure, and define evaluation metrics to drive continuous quality improvements. Optimize latency, reliability, and cost across the inference and post-processing stack while owning architectural decisions and system quality end to end. This role requires 5+ years of experience in computer vision systems and is open to candidates eligible to work in the UK.
Required Qualifications
- 5+ years experience building computer vision systems: detection, segmentation, or structured geometry extraction, used high volume in production
- Experience working with messy, real-world image data or large unstructured visual datasets
- Strong understanding of detection and segmentation tradeoffs, including model architecture choices, training data design, and post-processing
- Ability to measure system performance with evaluation, testing, and production metrics
- Ability to explain failure modes clearly and improve systems through debugging, dataset work, and iteration
- Experience with multimodal models (vision-language models, document AI systems)
- Understanding of grounding — linking model outputs to source data or coordinates
- Backend engineering experience, including APIs, async processing, and scalable GPU services
- Eligible to work in the United Kingdom
- Not a model-training-only role
- Not a research-only role
- Not a plug-and-play CV tools environment
Desired Qualifications
- Experience with polygon or mask post-processing, geometric regularization, or CAD-style structured output
- Experience with layout-aware document processing, PDF vector extraction, or combining raster and vector signals
- Background in document-heavy CV domains such as construction, real estate, medical imaging, geospatial, or similar workflows
- Experience optimizing inference cost and latency at scale
- Familiarity with open-source detection / segmentation ecosystems, training infrastructure, or model serving
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