7 of 7 Remote Computer Vision Jobs in the Thames Valley

Machine Learning Engineer (Computer Vision) Department: Vicon Markerless Employment Type: Permanent - Full Time Location: Botley, Oxfordshire Reporting To: Timothy Smith Description Are you interested in working on products at the very cutting edge of technology? Want to join Vicon, an Academy Award-winning company, and the world's largest supplier of precision motion capture and tracking systems? Vicon … and commercials, and are a crucial measurement tool for biomechanics, robotics, and cutting-edge science. Vicon is a subsidiary of Oxford Metrics Plc. We are looking for an excellent Computer Vision MLE to join our research and development team in Oxford, England. Key Responsibilities This opportunity is to contribute to a team which is building leading-edge motion … in a major academic city. Required Skills, Knowledge and Expertise You have relevant academic (research Masters/PhD level) and/or industry experience. Experience Essential Skills • Experience solving computer vision problems - such as object detection and human pose estimation - with the application of appropriate machine learning methods, such as CNNs and ViTs, in conjunction with non-ML More ❯

enhance customer experience. Full-Stack Development: Architect end-to-end solutions, ensuring seamless integration and optimal performance across the tech stack. Technical Innovation: Leverage technologies like large language models, computer vision, and predictive analytics to tackle complex challenges. Cross-functional Collaboration: Partner with Innovation Designers to align technical development with design concepts and business goals. Agile Methodology : Employ … experience as a full-stack developer with proficiency in multiple languages and technologies, particularly in AI engineering. Hands-on experience with advanced technologies such as large language models (LLMs), computer vision, and data science. Strong background in innovation and POC development, with a focus on idea generation rather than product management. Experience in startups or small businesses, adept More ❯

roles. 3+ years of professional experience in Python programming language. Solid understanding of machine learning algorithms, tools, and techniques, such as supervised. and unsupervised learning, transformer models, deep learning, computer vision, natural language processing, etc. Experience with common ML libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn. Ability to work independently and collaboratively with multi-functional … and documentation for ML code. Familiarity with software engineering standard methodologies, such as version control, code review, CI/CD, etc. You might also have... Bachelor's degree in computer science, engineering, statistics, or related fields. Experience with price/discount optimization. Experience in working with large-scale and sophisticated data sets Experience in applying machine learning to domains More ❯

join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML … MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience with large-scale datasets and distributed training. Knowledge of model interpretability and responsible AI practices. Benefits: Flexible working arrangements (hybrid or remote More ❯

expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such More ❯

expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such More ❯

/Linux environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud-native architectures. Experience with CI/CD, automated testing, and iterative product development. Knowledge of graph databases and graph More ❯