1 to 25 of 47 OpenCV Jobs in England

natural language processing, generative AI, image processing and OCR all additional positives. Experience with some of the following frameworks - TensorFlow, Pytorch, Hugging face, Spacy, OpenCV, Regex or equivalents. Experience delivering safe code to production, focusing on cybersecurity and resilience of the application and APIs. Desirable Skills/Experience Although ...

Python, with familiarity in CUDA for GPU acceleration. Full UK Driving License. Advantageous/Preferred Requirements: Proficiency in perception and computer vision techniques, including OpenCV, image processing, and 3D point cloud processing. Hands-on expertise with deep learning frameworks like TensorFlow or PyTorch, and knowledge of CNNs, RNNs ...

experience in the following areas: 1. Bachelor's in Computer Science, Software Engineering or a related field. 2. Experience with image processing libraries (e.g. OpenCV, PIL, scikit-image) or numerical analysis (NumPy, SciPy). 3. Solid understanding of React/JavaScript/Typescript for web or mobile app development. ...

/CV concepts: dataset splits, overfitting, evaluation metrics, augmentation, and performance trade-offs. Comfortable working with image processing and common computer vision libraries (e.g., OpenCV, NumPy, Pillow, SciPy, Matplotlib). Good engineering habits: Git-based workflows, virtual environment usage, clean code, and reproducible experiments. Strong problem-solving ability, able ...

/CV concepts: dataset splits, overfitting, evaluation metrics, augmentation, and performance trade-offs. Comfortable working with image processing and common computer vision libraries (e.g., OpenCV, NumPy, Pillow, SciPy, Matplotlib). Good engineering habits: Git-based workflows, virtual environment usage, clean code, and reproducible experiments. Strong problem-solving ability, able ...

/CV concepts: dataset splits, overfitting, evaluation metrics, augmentation, and performance trade-offs. Comfortable working with image processing and common computer vision libraries (e.g., OpenCV, NumPy, Pillow, SciPy, Matplotlib). Good engineering habits: Git-based workflows, virtual environment usage, clean code, and reproducible experiments. Strong problem-solving ability, able ...

/CV concepts: dataset splits, overfitting, evaluation metrics, augmentation, and performance trade-offs. Comfortable working with image processing and common computer vision libraries (e.g., OpenCV, NumPy, Pillow, SciPy, Matplotlib). Good engineering habits: Git-based workflows, virtual environment usage, clean code, and reproducible experiments. Strong problem-solving ability, able ...

/CV concepts: dataset splits, overfitting, evaluation metrics, augmentation, and performance trade-offs. Comfortable working with image processing and common computer vision libraries (e.g., OpenCV, NumPy, Pillow, SciPy, Matplotlib). Good engineering habits: Git-based workflows, virtual environment usage, clean code, and reproducible experiments. Strong problem-solving ability, able ...

/CV concepts: dataset splits, overfitting, evaluation metrics, augmentation, and performance trade-offs. Comfortable working with image processing and common computer vision libraries (e.g., OpenCV, NumPy, Pillow, SciPy, Matplotlib). Good engineering habits: Git-based workflows, virtual environment usage, clean code, and reproducible experiments. Strong problem-solving ability, able ...

/CV concepts: dataset splits, overfitting, evaluation metrics, augmentation, and performance trade-offs. Comfortable working with image processing and common computer vision libraries (e.g., OpenCV, NumPy, Pillow, SciPy, Matplotlib). Good engineering habits: Git-based workflows, virtual environment usage, clean code, and reproducible experiments. Strong problem-solving ability, able ...

/CV concepts: dataset splits, overfitting, evaluation metrics, augmentation, and performance trade-offs. Comfortable working with image processing and common computer vision libraries (e.g., OpenCV, NumPy, Pillow, SciPy, Matplotlib). Good engineering habits: Git-based workflows, virtual environment usage, clean code, and reproducible experiments. Strong problem-solving ability, able ...

/CV concepts: dataset splits, overfitting, evaluation metrics, augmentation, and performance trade-offs. Comfortable working with image processing and common computer vision libraries (e.g., OpenCV, NumPy, Pillow, SciPy, Matplotlib). Good engineering habits: Git-based workflows, virtual environment usage, clean code, and reproducible experiments. Strong problem-solving ability, able ...

/CV concepts: dataset splits, overfitting, evaluation metrics, augmentation, and performance trade-offs. Comfortable working with image processing and common computer vision libraries (e.g., OpenCV, NumPy, Pillow, SciPy, Matplotlib). Good engineering habits: Git-based workflows, virtual environment usage, clean code, and reproducible experiments. Strong problem-solving ability, able ...

/CV concepts: dataset splits, overfitting, evaluation metrics, augmentation, and performance trade-offs. Comfortable working with image processing and common computer vision libraries (e.g., OpenCV, NumPy, Pillow, SciPy, Matplotlib). Good engineering habits: Git-based workflows, virtual environment usage, clean code, and reproducible experiments. Strong problem-solving ability, able ...

/CV concepts: dataset splits, overfitting, evaluation metrics, augmentation, and performance trade-offs. Comfortable working with image processing and common computer vision libraries (e.g., OpenCV, NumPy, Pillow, SciPy, Matplotlib). Good engineering habits: Git-based workflows, virtual environment usage, clean code, and reproducible experiments. Strong problem-solving ability, able ...

/CV concepts: dataset splits, overfitting, evaluation metrics, augmentation, and performance trade-offs. Comfortable working with image processing and common computer vision libraries (e.g., OpenCV, NumPy, Pillow, SciPy, Matplotlib). Good engineering habits: Git-based workflows, virtual environment usage, clean code, and reproducible experiments. Strong problem-solving ability, able ...

/CV concepts: dataset splits, overfitting, evaluation metrics, augmentation, and performance trade-offs. Comfortable working with image processing and common computer vision libraries (e.g., OpenCV, NumPy, Pillow, SciPy, Matplotlib). Good engineering habits: Git-based workflows, virtual environment usage, clean code, and reproducible experiments. Strong problem-solving ability, able ...

/CV concepts: dataset splits, overfitting, evaluation metrics, augmentation, and performance trade-offs. Comfortable working with image processing and common computer vision libraries (e.g., OpenCV, NumPy, Pillow, SciPy, Matplotlib). Good engineering habits: Git-based workflows, virtual environment usage, clean code, and reproducible experiments. Strong problem-solving ability, able ...

/CV concepts: dataset splits, overfitting, evaluation metrics, augmentation, and performance trade-offs. Comfortable working with image processing and common computer vision libraries (e.g., OpenCV, NumPy, Pillow, SciPy, Matplotlib). Good engineering habits: Git-based workflows, virtual environment usage, clean code, and reproducible experiments. Strong problem-solving ability, able ...

/CV concepts: dataset splits, overfitting, evaluation metrics, augmentation, and performance trade-offs. Comfortable working with image processing and common computer vision libraries (e.g., OpenCV, NumPy, Pillow, SciPy, Matplotlib). Good engineering habits: Git-based workflows, virtual environment usage, clean code, and reproducible experiments. Strong problem-solving ability, able ...

/CV concepts: dataset splits, overfitting, evaluation metrics, augmentation, and performance trade-offs. Comfortable working with image processing and common computer vision libraries (e.g., OpenCV, NumPy, Pillow, SciPy, Matplotlib). Good engineering habits: Git-based workflows, virtual environment usage, clean code, and reproducible experiments. Strong problem-solving ability, able ...

/CV concepts: dataset splits, overfitting, evaluation metrics, augmentation, and performance trade-offs. Comfortable working with image processing and common computer vision libraries (e.g., OpenCV, NumPy, Pillow, SciPy, Matplotlib). Good engineering habits: Git-based workflows, virtual environment usage, clean code, and reproducible experiments. Strong problem-solving ability, able ...

/CV concepts: dataset splits, overfitting, evaluation metrics, augmentation, and performance trade-offs. Comfortable working with image processing and common computer vision libraries (e.g., OpenCV, NumPy, Pillow, SciPy, Matplotlib). Good engineering habits: Git-based workflows, virtual environment usage, clean code, and reproducible experiments. Strong problem-solving ability, able ...

/CV concepts: dataset splits, overfitting, evaluation metrics, augmentation, and performance trade-offs. Comfortable working with image processing and common computer vision libraries (e.g., OpenCV, NumPy, Pillow, SciPy, Matplotlib). Good engineering habits: Git-based workflows, virtual environment usage, clean code, and reproducible experiments. Strong problem-solving ability, able ...

/CV concepts: dataset splits, overfitting, evaluation metrics, augmentation, and performance trade-offs. Comfortable working with image processing and common computer vision libraries (e.g., OpenCV, NumPy, Pillow, SciPy, Matplotlib). Good engineering habits: Git-based workflows, virtual environment usage, clean code, and reproducible experiments. Strong problem-solving ability, able ...