City of London, London, United Kingdom Hybrid / WFH Options
Explore Group
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 ❯
london, south east england, united kingdom Hybrid / WFH Options
Explore Group
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 ❯
slough, south east england, united kingdom Hybrid / WFH Options
Explore Group
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 ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Explore Group
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 ❯
Computer Vision, or related technical discipline. Good knowledge of machine learning and computer vision algorithms. Familiarity with real-time imaging pipelines. Experience with scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit's, etc. Experience in standard software engineering practices including version control systems and software testing methodologies. Excellent oral and written communication skills. Analytical thinker, attentive 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 ❯
experience of supervising research. They should have good analytical and programming skills and experience of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience of C/C C#, TensorFlow would be beneficial. Applicants are expected to be proactive, to support other researchers and to be 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 ❯
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 ❯
london (city of london), south east england, united kingdom
Ultralytics
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 ❯
and C++ expertise for low-level development Embedded and application development on Linux Experience with IP networking protocols and configuration Knowledge of image processing and computer vision techniques, including OpenCV, image enhancement, and multi-sensor data synchronisation (desirable) Familiarity with microcontroller and FPGA development, including firmware for real-time sensor interfaces, precise timing, and hardware communications (desirable) Familiarity with 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 ❯
Cambridge, Cambridgeshire, England, United Kingdom Hybrid / WFH Options
REDTECH RECRUIT
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 ❯
tooling. Designing annotation strategies and model training pipelines tailored to client data, goals, and deployment constraints. Debugging client issues and delivering effective solutions with deep understanding of YOLO, Python, OpenCV, and model behavior. Supporting pre-sales efforts by participating in technical discovery calls and helping shape proposals and SLAs. Serving as a key technical advisor during customer engagements, ensuring … client-facing skills: patient, resilient, and able to communicate clearly with technical and non-technical stakeholders. Proficiency in Python and familiarity with the YOLO ecosystem. Hands-on experience with OpenCV, PyTorch, and classical ML/CV concepts. Strong understanding of end-to-end model lifecycles, including data collection, preparation, training, evaluation, and deployment. Experience with Docker and comfort working More ❯
tooling. Designing annotation strategies and model training pipelines tailored to client data, goals, and deployment constraints. Debugging client issues and delivering effective solutions with deep understanding of YOLO, Python, OpenCV, and model behavior. Supporting pre-sales efforts by participating in technical discovery calls and helping shape proposals and SLAs. Serving as a key technical advisor during customer engagements, ensuring … client-facing skills: patient, resilient, and able to communicate clearly with technical and non-technical stakeholders. Proficiency in Python and familiarity with the YOLO ecosystem. Hands-on experience with OpenCV, PyTorch, and classical ML/CV concepts. Strong understanding of end-to-end model lifecycles, including data collection, preparation, training, evaluation, and deployment. Experience with Docker and comfort working More ❯
