1 to 25 of 26 Remote Computer Vision Jobs in London

Computer Vision Engineer - Sports Analytics Innovation Location: London, UK (Hybrid/Flexible) Salary: £70,000 base + OTE up to £140k-£200k in Year 1 About the Opportunity We are working with a pioneering technology company at the forefront of sports analytics and artificial intelligence . This is a unique chance to apply your expertise in computer vision and machine learning to real-world challenges - building advanced systems for precise player and pitch detection and tracking during live sports events. You'll be part of a collaborative, research-driven team where your work will directly influence how millions of 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 maximize training effectivenessDeploy models into production environments and monitor their performanceCollaborate closely with engineers, data More ❯

Computer Vision Engineer - Sports Analytics Innovation Location: London, UK (Hybrid/Flexible) Salary: £70,000 base + OTE up to £140k-£200k in Year 1 About the Opportunity We are working with a pioneering technology company at the forefront of sports analytics and artificial intelligence . This is a unique chance to apply your expertise in computer vision and machine learning to real-world challenges - building advanced systems for precise player and pitch detection and tracking during live sports events. You'll be part of a collaborative, research-driven team where your work will directly influence how millions of fans, teams, and broadcasters experience sport. Key Responsibilities Design, implement, and optimize deep learning algorithms for … image and video analysis Develop 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 systems Curate and preprocess data to maximize training effectiveness Deploy models into production environments and monitor their performance Collaborate More ❯

cutting-edge technology to do a variety of amazing things with cameras and other data sources (all in real-time on site or in the cloud) are looking for Computer Vision specialist with excellent C++ skills. They are searching for motivated, driven and proactive individuals, who will develop and innovate. They are looking for someone who will be … for developing their data creation and collection technology . The role will provide you will a high level of autonomy and project ownership. What you will do as a Computer Vision Engineer (C++) Develop and maintain real-time ball and player tracking software specifically for providing data to third parties Develop C++ applications for visualising and analysing tracking … data for coaching and broadcast purposes Design intuitive and easy to use user interfaces They are looking for: Required attributes: Bachelor's or Master's degree in Computer Science, Engineering, or related field Experience programming in C++ Understanding of 3D Linear Algebra for Computer Vision Proficient using Git version control Strong problem-solving abilities and communication skills More ❯

cutting-edge technology to do a variety of amazing things with cameras and other data sources (all in real-time on site or in the cloud) are looking for Computer Vision Specialist with excellent C++ skills. They are searching for motivated, driven and proactive individuals, who will develop and innovate. Theyare looking for someone who will be responsible … for developing theirdata creation and collection technology . The role will provide you will a high level of autonomy and project ownership. What you will do as aComputer Vision Engineer (C++) Develop and maintain real-time ball and player tracking software specifically for providing data to third parties Develop C++ applications for visualising and analysing tracking data for coaching … and broadcast purposes Design intuitive and easy to use user interfaces They are looking for: Required attributes: Bachelor's or Master's degree in Computer Science, Engineering, or related field Experience programming in C++ Understanding of 3D Linear Algebra for Computer Vision Proficient using Git version control Strong problem-solving abilities and communication skills Desirable skills: Experience More ❯

join our growing team at the forefront of applied AI. You'll work on meaningful, real-world challenges with clients across the UK - using state-of-the-art LLMs, computer vision, and NLP to build innovative solutions that deliver real impact. This is a broad, high-impact role, perfect for someone who thrives in fast-paced environments, combines … got 3+ years of hands-on experience in AI/ML - with a solid mix of practical application and research depth. You've worked with LLMs and/or computer vision models in real-world settings, and you know what it takes to get them into production. You're confident with AWS - from setting up infrastructure to building … or happy to travel to) either Cardiff or London 2-3 days a week. Bonus points if you also have: A PhD (or equivalent research experience) in machine learning, computer vision, NLP, or a related field Experience with multi-modal models that combine vision and language Strong grasp of data-centric AI practices - annotation tooling, prompt evaluation More ❯

universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with … particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities · Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal … and monitoring of deployed models. Requirements · 6+ years in data science/ML, with at least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling More ❯

products and decision-making processes. Whilst this role will be hands-on in nature and will require experience and skills for model development, you will also set the technical vision for data science, mentor a team of data scientists, and work closely with data engineering, product, and business stakeholders to ensure scalable, production-ready solutions. Your primary focus will … and MLOps teams Design, validate, and deploy machine learning models and advanced analytics solutions that support production forecasting, recommendation, and automation Guide the technical direction for statistical modeling, NLP, computer vision, and LLM-based solutions where applicable Partner with engineering teams to ensure data science solutions are scalable, production-grade, and cost-efficient across cloud platforms Establish and … data science, machine learning, or advanced analytics, ideally in a technical leadership role Proven expertise in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and experience across NLP, computer vision, and LLMs Strong statistical foundation, including A/B testing, causal inference, and experimental design Proficiency in SQL and working with large-scale, cloud-based datasets Deep More ❯

imaging data. Design and implement algorithms for hyperspectral image data processing, from low-level image reconstruction to deep learning-based tissue property estimation and semantic segmentation tasks to stereo vision reconstruction for multi-view surgical guidance. Contribute to the dissemination through patenting and clinical engagement. Closely work with our software development and regulatory team for efficient integration from R … London and was founded by a team of clinicians, medical imaging and artificial intelligence (AI) experts. Based on safe light alone, our goal is to equip clinicians with advanced computer-assisted tissue analysis for improved surgical precision and patient safety. We have developed a computational Hyperspectral Imaging (HSI) system for improved intraoperative surgical guidance. HSI is a safe optical … Innovations to improve surgical care. Come make an impact with us and help shape our story. A bit about you MSc or PhD in Machine Learning, Medical Image Computing, 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 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 ❯

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 ❯

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 ❯

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 ❯

of data pre-processing, feature engineering, and model evaluation Familiarity with cloud services (AWS, GCP, Azure) and their AI/ML offerings Knowledge of natural language processing (NLP) and computer vision is a plus Experience 3+ years in AI, machine learning, or data science roles. Proven track record of deploying AI models into production environments. Experience with data More ❯

to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest … ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance (after 1 year) Enhanced parental leave More ❯

principles. Proven track record of building and deploying machine learning models into production. Hands-on experience with both structured and unstructured data. Experience with deep learning models for either computer vision or natural language processing. Proficiency with the Python programming language. Knowledge of Git and collaboration principles. Strong communication and presentation skills. LIFE AS A SATALIAN As an More ❯

Salary: £140,000 - £160,000 + Equity Location: London - Hybrid (3-5 days a week) Our client is pioneering a frontier 3D foundation model at the intersection of AI, computer vision, and spatial computing. Their mission is to transform how industries from robotics and AR/VR to gaming and film create and interact with 3D content. They More ❯

projects. Lead the design and delivery of AI-driven automation solutions across underwriting and claims. Act as subject matter expert for intelligent automation technologies including NLP, OCR/IDP, computer vision and LLMs. Manage and mentor offshore resources, ensuring quality and speed of delivery. Build proof-of-concepts that demonstrate real business value from AI. Support the development … with process improvement and automation design. Comfortable navigating complex, ambiguous challenges and delivering clear solutions. Excellent communicator with strong stakeholder management skills. Python development background is desirable. Degree in Computer Science, Engineering, Data Analytics, or a similar quantitative field. What’s in It for You: Influence how intelligent automation shapes a leading insurance business. High visibility with senior stakeholders More ❯

ensure compliance with industry standards. Continuous Improvement: Analyze system performance and implement enhancements to improve efficiency, stability, and scalability of embedded systems. Required Qualifications: Education: Bachelor's degree in Computer Science, Robotics, Electrical Engineering, or a related field. Experience: Minimum of 3 years of professional experience in embedded software development. At least 2 years of experience working with C … environments. Familiarity with communication protocols such as I2C, SPI, UART, CAN, etc. Experience with version control systems (e.g., Git) and software development methodologies (Agile/Scrum). Knowledge of computer vision, navigation algorithms, and sensor integration is a plus. Desired Skills: Excellent problem-solving skills with the ability to work under pressure. Strong communication skills to effectively collaborate More ❯

era of AI. We don't just advise; we craft vehicles of change, build teams through specialised training, and implement intelligent technologies to augment organisational decision making. Riverflex's vision is to become a full stack AI consulting company , using AI agents and products to deliver end to end services rather than simply selling tools. Your Mission As our … Build lasting relationships with clients based on trust and impact. Lead innovation and thought leadership. Champion the full stack AI consulting vision. Explore how emerging AI technologies (LLMs, agents, computer vision, ML Ops) can transform consulting delivery and client operations. Develop new service offerings, prototypes and market narratives that differentiate Riverflex. Collaborate across Riverflex. Work closely with our More ❯

profitability for operations. As the global leader in addressing food waste, we are committed to continue pushing the envelope on what technology can do to solve this problem. Winnow Vision, our artificial intelligence-based technology, is trained to automatically track all food waste thrown away. It has won awards at the World Economic Forum and has received tremendous enthusiasm … found it. About the role Our team is responsible for the development of the company's flagship product: Winnow Vision. This state-of-the-art device leverages cutting edge computer vision technology to provide the best possible experience for our users. Developing such a product involves many different concerns and teams: optimising software performance on the Edge devices More ❯

our team and deliver new experiences and valuable insights to our coaches, athletes and fans. You'll help us build and deploy game-changing initiatives that use cutting-edge computer-vision and deep learning at scale to shape the future of sports at every level, from professional teams to local high schools. As a Senior MLOps Engineer, your More ❯

our team and deliver new experiences and valuable insights to our coaches, athletes and fans. You'll help us build and deploy game-changing initiatives that use cutting-edge computer-vision and deep learning at scale to shape the future of sports at every level, from professional teams to local high schools. As a Senior MLOps Engineer, your More ❯

years of experience in data analysis , QA , or content evaluation . Strong attention to detail and critical thinking. Experience with Python and SQL (script running, debugging). STEM background (Computer Science, Engineering, Physics, etc.). Ability to thrive in fast-moving, highly collaborative environments. Nice to Have: Knowledge of computer vision or generative AI (e.g., text-to More ❯

Hybrid: 4 days in the office, 1 day working from home per week What you'll do Lead Product Strategy: Define and champion a compelling 6-18 month product vision and strategy for our Lending domain, inspiring the team and driving its execution. This includes independently developing and managing the product roadmap. Drive Product Development: Own the full product … or features in business lending or working capital environments Technical Proficiency: Demonstrated experience working on complex technical products, such as platforms, distributed systems, data science/machine learning applications, computer vision, embedded systems, robotics, or similar technologies. Communication: Exceptional communication skills, both written and verbal, with the ability to clearly articulate complex technical concepts to technical and non More ❯

Hybrid: 4 days in the office, 1 day working from home per week What you'll do Lead Product Strategy: Define and champion a compelling 6-18 month product vision and strategy for our Lending domain, inspiring the team and driving its execution. This includes independently developing and managing the product roadmap. Drive Product Development: Own the full product … or features in business lending or working capital environments Technical Proficiency: Demonstrated experience working on complex technical products, such as platforms, distributed systems, data science/machine learning applications, computer vision, embedded systems, robotics, or similar technologies. Communication: Exceptional communication skills, both written and verbal, with the ability to clearly articulate complex technical concepts to technical and non More ❯