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# Computer Vision Engineer

- **Company:** Haut AI
- **Location:** London, UK (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, JIRA, Microsoft Azure, Cloud Computing, Image Analysis, Data Visualization, Github, Python (Programming Language), PostgreSQL, Machine Learning, Microsoft Software, NumPy, Object-Oriented Software Development, OpenCV, Productivity Software, Tensorflow, SciPy, Software Engineering, Data Processing, GitHub Copilot, Pytorch, Deep Learning, Pandas, Git Flow, Scikit Learn, Information Technology, Slack, ONNX (Open Neural Network Exchange) Format, Production Code, Data Analytics, Plotly, Edge Detection, Docker
- **Published:** May 20, 2026
- **Apply:** https://find.jobs/jobs-near-me/computer-vision-engineer-london/2778269810-2/

## About the Role

* Experience: 3+ years of industry experience shipping ML/DL models to production, with a Bachelor's degree in Computer Science, Math, Physics, or equivalent background.
 * Software Engineering: Strong proficiency in Python, enabling you to write clean, production-ready code. You are comfortable with OOP, Git workflows, and containerization using Docker.
 * ML & Deep Learning: expertise with deep learning frameworks (PyTorch, TensorFlow) and a solid grasp of CNN, transformer and hybrid architectures.
 * Computer Vision Foundations: Strong working knowledge of standard CV libraries (OpenCV, scikit-image, PIL) and classical CV algorithms (edge detection, thresholding, color spaces).
 * Data Analytics Fluency: Experience working with standard data manipulation libraries (NumPy, pandas, scikit-learn, SciPy).
 * Communication: Advanced English proficiency to collaborate effectively in a global environment.

Bonus Points (Nice to Have)

 * Hands-on experience with Vision Transformers (ViTs).
 * Familiarity with deploying and scaling models on cloud infrastructure (Azure, AWS, or GCP).
 * Data visualization skills using tools like Plotly or Gradio.

Your Tech Stack: Python, PyTorch, ONNX, OpenCV, Microsoft AzureML, GCP Vertex AI and PostgreSQL. We also heavily utilize modern workflow and productivity tools including Jira, Notion, Slack, GitHub, GitHub Copilot, Codex, Gemini, and OpenAI.

## Description

* Build & Innovate: Design, train, and deploy advanced CV/DL models for skin image analysis, tackling challenges in image classification, segmentation, regression, and generation.
 * Own the Pipeline: Architect and maintain robust, comprehensive training pipelines covering data preprocessing, augmentation, training loops, and validation.
 * Ship to Production: Optimize and format ML models (using ONNX/TF-lite) for smooth, scalable deployment.
 * Monitor & Iterate: Track the performance of deployed models in the wild, ensuring high reliability and addressing data drift.
 * Collaborate & Prototype: Build Proofs-of-Concept (PoCs) and demo applications to translate research into tangible business value, while communicating technical insights to the broader team.


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