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# Computer Vision Engineer

- **Company:** C4S Search Ltd
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £156,000.0 - £169,000.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Computer Vision, Business Software, Continuous Integration, Customer Data Management, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Software Deployment, Software Engineering, Pytorch, Large Language Models, Prompt Engineering, Deep Learning, Generative AI, Git, Containerization, HuggingFace, Machine Learning Operations, Data Pipelines
- **Published:** September 21, 2026
- **Apply:** https://www.reed.co.uk/jobs/computer-vision-engineer/57370179

## About the Role

* Strong commercial experience with Python and machine learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
 * Proven expertise developing and deploying computer vision and deep learning solutions in production environments.
 * Experience fine-tuning and optimising pre-trained models for specific business applications.
 * Hands-on knowledge of Generative AI, Large Language Models (LLMs), Prompt Engineering, Retrieval Augmented Generation (RAG), and model fine-tuning techniques.
 * Understanding of modern software engineering practices including Git, CI/CD, Containerisation, and MLOps methodologies.
 * Experience delivering end-to-end machine learning projects from concept through to production deployment.
 * Strong understanding of AI evaluation frameworks, model testing, benchmarking, and performance measurement.
 * Knowledge of responsible and ethical AI principles, including bias detection and risk mitigation.
 * Excellent stakeholder management and communication skills, with the ability to work across multidisciplinary teams.
 * Self-motivated individual with a passion for learning, innovation, and continuous improvement.

## Description

* Design, develop and deploy AI-powered solutions using deep learning, computer vision, large language models (LLMs), and generative AI technologies.
 * Build and maintain scalable data pipelines, ensuring high standards of data quality, governance, and reliability.
 * Develop multimodal AI models that combine visual, textual, and customer data to deliver enhanced automation and personalisation capabilities.
 * Apply MLOps best practices across the AI lifecycle, including CI/CD, monitoring, model deployment, testing, and performance optimisation.
 * Collaborate with product, engineering, and cloud teams to create secure, scalable, and responsible AI solutions while supporting ongoing innovation.


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