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# Computer Vision Engineer

- **Company:** Fogsphere - A Trading Name of Redev AI Ltd.
- **Location:** London, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Automatic Number Plate Recognition, Computer Vision, Microsoft Azure, Python (Programming Language), Machine Learning, Open Source Technology, Performance Tuning, Tensorflow, Software Engineering, Google Cloud, Pytorch, Deep Learning, Keras, Git, Kubernetes, Optimization Algorithms, Code Testing, Machine Learning Operations, Software Version Control, Data Pipelines
- **Published:** August 30, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815605085-computer-vision-engineer

## About the Role

* MSc in Computer Vision , Machine Learning , Artificial Intelligence , or related field.
 * 2+ years of hands-on experience in deep learning model development and training.
 * Strong proficiency with Python and ML frameworks ( PyTorch , TensorFlow , or Keras ).
 * Solid understanding of CNNs, and ViTs
 * Experience with dataset preparation, augmentation, and preprocessing for computer vision.
 * Strong knowledge of optimization techniques, hyperparameter tuning, and evaluation metrics.
 * Good software engineering practices: version control (Git), code testing, reproducibility.
 * Experience working with MLOps frameworks (e.g., MLflow, Weights & Biases, Kubeflow).

Preferred Skills (nice-to-have)

 * Experience on VLM fine-tuning.
 * Knowledge of cloud platforms ( AWS , GCP , Azure ) for model training and deployment.
 * Background in multimodal AI (vision + language).
 * Contributions to open-source CV/ML projects or publications in top conferences (CVPR, ICCV, NeurIPS, ECCV, TPAMI…).
 * Knowledge on TRT.
 * Experience on edge computing applications.
 * Experience on ANPR and/or Face Recognition, and/or Image Retrieval in general.

## Description

We are seeking a highly motivated Computer Vision Engineer with a strong background in Deep Learning to join our AI/ML team. You will focus on developing, training, and optimizing models for computer vision applications, working with large-scale image/video datasets, and deploying cutting-edge deep learning solutions into production environments., * Design, train, and evaluate deep learning models for computer vision tasks (e.g., classification, detection, segmentation, tracking, retrieval…).

 * Build and maintain scalable data pipelines for training and evaluation.
 * Optimize model architectures for performance, accuracy, and efficiency (e.g., pruning, quantization, distributed training).
 * Contribute to research and prototyping of novel computer vision algorithms.
 * Deploy trained models into production environments in collaboration with software engineering teams.
 * Document workflows and contribute to team knowledge-sharing.


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