21 of 21 OpenCV Jobs in the UK excluding London

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 ❯

wider communities of practice. Mentor and coach team members. Key Skills AI/ML Expertise: Experience with OCR, Object Detection, LLMs, and frameworks such as Transformers (Hugging Face), PyTorch, OpenCV, YOLO. Programming: Strong Python (3.9+) skills, including OOP, async patterns, data structures, debugging. Data Processing: Proficient with Pandas, NumPy, SQLAlchemy/psycopg2, AWS Boto3. Cloud & Infrastructure: Hands-on AWS 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 ❯

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 ❯

LLMs, OCR, object detection, and cloud-native deployments , contributing to scalable, production-ready solutions in a collaborative, agile environment. Responsibilities 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 ❯

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 ❯

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 ❯

or similar numerate discipline with a software engineering emphasis. Familiarity with Robotics Middleware (e.g., ROS) Simulation, Robotics and Machine Learning techniques Use of current programming language features (e.g., Boost, OpenCV, C 17 onwards for C++) Experience with automating application deployment and environment configuration management Software verification and deployment techniques An understanding of defect tracking systems such as GitLab/ More ❯

fans, teams, and broadcasters experience sport. Key Responsibilities Design, implement, and optimize deep learning algorithms for image and video analysisDevelop and enhance computer vision pipelines using both classical methods (OpenCV) and modern techniques (CNNs, detection/segmentation heads)Train, evaluate, and fine-tune models on large datasets, ensuring performance and accuracy in real-time systemsCurate and preprocess data to … solving complex problems and pushing models into production that have tangible, high-profile impact. Essential experience: Strong background in Computer Vision and image/video processingHands-on experience with OpenCV pipelines Proficiency with deep learning frameworks (PyTorch, TensorFlow, Keras)Knowledge of CNN architectures and training dynamicsProven experience deploying and optimizing models for real-time applicationsStrong data science and metrics 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 ❯

ideas. Key responsibilities include: Designing and optimising deep learning models for real-world performance. Building robust computer vision pipelines for detection, segmentation, and tracking. Combining classical computer vision methods (OpenCV, feature extraction, motion tracking) with modern CNN architectures. Experimenting with advanced detection and segmentation heads to enhance accuracy. Curating, managing, and optimising large datasets for effective training. Applying strong … models. Contributing to a collaborative research culture, sharing insights and results with peers. Key experience needed: Proven experience in optimising and deploying deep learning models at scale. Expertise in OpenCV and classical computer vision approaches. Strong knowledge of CNN building blocks, training dynamics, and segmentation/detection techniques. Skilled in dataset curation and management for machine learning pipelines. A More ❯

Senior C++ Linux Engineer £50-60k C++/Linux/SQL 3 days per week on site - Worcester To find out more contact Beth on (url removed) or call (phone number removed) About Us: The Engine team drives the More ❯

Senior C++ Linux Engineer £50-60k C++/Linux/SQL 3 days per week on site - Worcester About Us: The Engine team drives the development and evolution of our Documents & Biometrics digital identity verification product. This cutting-edge More ❯