1 to 25 of 26 OpenCV Jobs in the UK excluding London

solutions. Stay up to date with the latest advancements in deep learning, computer vision, and related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge More ❯

solutions. Stay up to date with the latest advancements in deep learning, computer vision, and related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge More ❯

solutions. Stay up to date with the latest advancements in deep learning, computer vision, and related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge More ❯

desirable. Strong understanding of data structures, software architecture, and data modelling, with experience handling diverse datasets (tabular, computer vision, point cloud, game data). Proficient with ML frameworks (NumPy, OpenCV, scikit-learn, PyTorch/PyTorch3D, TensorFlow, Keras). Experience with CI/CD pipelines, version control (GitLab, Perforce), cloud platforms (preferably AWS) and scalable deployment workflows. Outstanding problem-solving More ❯

Learning & AI Libraries including: o Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference o PyTorch for deep learning model development and training o OpenCV for computer vision tasks and image preprocessing in object detection o PIL/Pillow for image manipulation and format conversion o YOLO object detection frameworks Core Python Skills : * Proficiency More ❯

Learning & AI Libraries including: o Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference o PyTorch for deep learning model development and training o OpenCV for computer vision tasks and image preprocessing in object detection o PIL/Pillow for image manipulation and format conversion o YOLO object detection frameworks Core Python Skills : * Proficiency More ❯

analysis implementation - Machine Learning & AI Libraries including Transformers/Hugging Face for working with pre-trained LLMs, fine tuning, and inference, PyTorch for deep learning model development and training, OpenCV for computer vision tasks and image preprocessing in object detection, PIL/Pillow for image manipulation and format conversion and YOLO object detection frameworks - Proficiency in Python 3.9+ with More ❯

analysis implementation - Machine Learning & AI Libraries including Transformers/Hugging Face for working with pre-trained LLMs, fine tuning, and inference, PyTorch for deep learning model development and training, OpenCV for computer vision tasks and image preprocessing in object detection, PIL/Pillow for image manipulation and format conversion and YOLO object detection frameworks - Proficiency in Python 3.9+ with More ❯

analysis implementation - Machine Learning & AI Libraries including Transformers/Hugging Face for working with pre-trained LLMs, fine tuning, and inference, PyTorch for deep learning model development and training, OpenCV for computer vision tasks and image preprocessing in object detection, PIL/Pillow for image manipulation and format conversion and YOLO object detection frameworks - Proficiency in Python 3.9+ with More ❯

analysis implementation Machine Learning & AI Libraries including: Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference PyTorch for deep learning model development and training OpenCV for computer vision tasks and image preprocessing in object detection PIL/Pillow for image manipulation and format conversion YOLO object detection frameworks Core Python Skills: Proficiency in Python More ❯

modern Python-based tooling. What You'll Be Working On: Building production-grade AI systems using LLMs , Object Detection , and OCR Leveraging frameworks like Hugging Face Transformers , PyTorch , YOLO , OpenCV , and Pillow Designing and deploying AI services via FastAPI , AWS Lambda , EKS/ECS , and S3 Creating scalable data pipelines with Pandas , NumPy , SQLAlchemy , and Airflow Supporting real-time More ❯

strong technical expertise and a proactive, collaborative mindset. Key skills and experience include:Technical Proficiency AI/ML technologies: OCR, Object Detection, LLMs Libraries: Transformers/Hugging Face, PyTorch, OpenCV, PIL/Pillow, YOLO Python 3.9+ with OOP, async/await, and debugging techniques Data tools: Pandas, NumPy, SQLAlchemy/psycopg2 AWS: Lambda, S3, CloudWatch, IAM, CDK, SQS, EKS More ❯

strong technical expertise and a proactive, collaborative mindset. Key skills and experience include: Technical Proficiency AI/ML technologies: OCR, Object Detection, LLMs Libraries: Transformers/Hugging Face, PyTorch, OpenCV, PIL/Pillow, YOLO Python 3.9+ with OOP, async/await, and debugging techniques Data tools: Pandas, NumPy, SQLAlchemy/psycopg2 AWS: Lambda, S3, CloudWatch, IAM, CDK, SQS, EKS More ❯

detection, and cloud-native deployments , contributing to scalable, production-ready solutions in a collaborative, agile environment. What You'll Do: Build and deploy ML models using Transformers, PyTorch, YOLO, OpenCV , and more. Work with LLMs, image analysis, and object detection in real-world applications. Design and optimize APIs using FastAPI and integrate with external systems. Deploy scalable AI systems More ❯

Skills and Experience 5+ years of hands-on experience in Computer Vision and Deep Learning. Expert-level proficiency in Python and deep expertise with PyTorch. Strong practical experience with OpenCV for image and video processing tasks. Proven experience in training, fine-tuning, and deploying object detection models, particularly within the YOLO family. Familiarity with model optimization techniques such as More ❯

Skills and Experience 5+ years of hands-on experience in Computer Vision and Deep Learning. Expert-level proficiency in Python and deep expertise with PyTorch. Strong practical experience with OpenCV for image and video processing tasks. Proven experience in training, fine-tuning, and deploying object detection models, particularly within the YOLO family. Familiarity with model optimization techniques such as More ❯

Skills and Experience 5+ years of hands-on experience in Computer Vision and Deep Learning. Expert-level proficiency in Python and deep expertise with PyTorch. Strong practical experience with OpenCV for image and video processing tasks. Proven experience in training, fine-tuning, and deploying object detection models, particularly within the YOLO family. Familiarity with model optimization techniques such as More ❯

an interpreted language (e.g. Python, R, Perl) Essential Awareness of cloud-native principles and associated DevOps technologies Desirable Understanding of biology and bioinformatics Desirable Understanding of image processing (e.g. opencv, imagej) and ML/AI frameworks (pytorch, tensorflow etc.) Desirable Understanding of containerisation technologies like Docker/singularity, orchestration tools such as Kubernetes, and configuration management tools like Puppet More ❯

C++). Experience in embedded systems and automation/control mechanisms. Track record of leading or mentoring software engineers. Exposure to AWS and AI/ML frameworks (PyTorch, TensorFlow, OpenCV) is a big plus. Flexible, solutions-focused mindset – comfortable in a start-up environment. Nice-to-haves: Microcontrollers (Raspberry Pi, Okdo, Tinker Edge R). Robotics, servo/stepper More ❯

electronics and the ability to read electrical schematics is essential. Demonstrable knowledge and experience of current software engineering practices for RAS. Experience with ROS/ROS2, machine learning and OpenCV is advantageous. Knowledge of CODESYS or similar PLC software is beneficial. Experience working in a multi-disciplined engineering team. Ability to investigate and interpret data, issues, and situations, to More ❯

physics, and geospatial mapping. Working with sensor hardware and electronics. Networking principles, protocols, and services. Application development across embedded, desktop, and web platforms. Video and radar signal processing (e.g., OpenCV). AI-based, hardware-accelerated image processing (e.g., YOLO). Familiarity with Enterprise Systems architecture. Experience with version control systems (Git) and SDLC automation tools. Excellent problem-solving, debugging More ❯

physics, and geospatial mapping. Working with sensor hardware and electronics. Networking principles, protocols, and services. Application development across embedded, desktop, and web platforms. Video and radar signal processing (e.g., OpenCV). AI-based, hardware-accelerated image processing (e.g., YOLO). Familiarity with Enterprise Systems architecture. Experience with version control systems (Git) and SDLC automation tools. Excellent problem-solving, debugging More ❯

or Scientific discipline. Hands-on experience integrating vision systems and automated inspection technologies (ideally Cognex, Keyence), programming in C/C#. Familiarity with code readers, vision libraries/frameworks (OpenCV, PyTorch), and ideally, Siemens S7 or Allen Bradley PLCs. Strong understanding of working within regulated environments and a detail-driven approach to documentation. If this sounds like you, we More ❯

API design and version control (Git) Comfortable working in Agile environments with cross-functional teams Bonus points for: Experience with state management tools like Zustand or Redux Familiarity with OpenCV or Google MediaPipe Ability to convert Figma/Sketch/XD designs into React components Exposure to automated testing tools like Jest, Cypress, or pytest This role offers an More ❯

to code quality Great communication skills and ability to work across multidisciplinary teams Beneficial experience: Experience with geospatial or image-processing software platforms Knowledge of computer-vision libraries (e.g. OpenCV) and 3D reconstruction tools GPU programming (CUDA, OpenCL, Vulkan) or 3D visualisation frameworks (WebGL, Three.js) Exposure to cloud deployment (AWS/Azure) and agile tools (e.g. Jira) Applications in …/Image Processing Engineer/Geospatial Software Developer/Computer Vision Engineer/Remote Sensing Engineer/Multithreaded Developer/GPU Programmer/Data Visualisation Engineer/Developer/OpenCV/Spatial Databases/CUDA/OpenCL/Vulkan/WebGL/Three.js/AWS/Azure/Sensor Fusion/Computer Science/Software Engineering/Physics/ More ❯