151 to 175 of 1,406 Computer Vision Jobs in the UK

our overall digital strategy with data and insights generation in alignment with business goals. Your Qualifications Bachelor's or Master’s degree in Data Science, Statistics, Applied Math, or Computer Science, along with equivalent practical experience in Applied Data, Data Engineering, and/or Data Science. 10+ years of strong practical experience in statistical analysis, machine learning, and/… using Git + source control in a team environment. Experience with Microsoft Fabric is a plus. Experience with development of serverless compute services like Azure Functions is a plus. Computer Vision experience is a plus. Experience in REST API service development is a plus. C# as well as event-driven architectures is a plus. Azure (or other cloud … being Week,” our offices reflect our people’s diverse interests. We encourage every person at Gensler to lead a healthy and balanced life. Our comprehensive benefits include medical, dental, vision, disability, and wellness programs. We also offer profit sharing and twice annual bonus opportunities. As part of the firm’s commitment to licensure and professional development, Gensler offers reimbursement More ❯

deliver impactful solutions, and adapt to evolving project needs, all while maintaining a strong commitment to continuous learning and team collaboration. Qualifications Hold a PhD or MSc degree in Computer Science, Artificial Intelligence, Data Science, or related field Key Skills and Experiences Proficient in machine learning and statistics, with hands-on experience in computer vision (CV) or More ❯

deliver impactful solutions, and adapt to evolving project needs, all while maintaining a strong commitment to continuous learning and team collaboration. Qualifications Hold a PhD or MSc degree in Computer Science, Artificial Intelligence, Data Science, or related field Key Skills and Experiences Proficient in machine learning and statistics, with hands-on experience in computer vision (CV) or More ❯

resulting from research outcomes - Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts. PREFERRED QUALIFICATIONS - A PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent) and 5+ years of experience working in data science in a consumer product company - Practical experience in several of the following … areas: machine learning, statistics, NLP, deep learning, recommendation systems, computer vision, information retrieval - Publications in top-tiered academic conferences and journals. - Knowledge of AWS products for MLOps Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process More ❯

lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues in multi-disciplinary teams and to work on a … you. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant … and excellent written and verbal communication skills, we are interested in candidates with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading More ❯

Manager, ideally within AI/ML, software development, or SaaS startups. Passionate about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python More ❯

Manager, ideally within AI/ML, software development, or SaaS startups. Passionate about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python More ❯

Manager, ideally within AI/ML, software development, or SaaS startups. Passionate about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python More ❯

Manager, ideally within AI/ML, software development, or SaaS startups. Passionate about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python More ❯

Manager, ideally within AI/ML, software development, or SaaS startups. Passionate about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python More ❯

Work closely with cross-functional teams in a fast-paced, entrepreneurial environment and ensure your processes are documented for scalability. What You’ll Bring: Must-Have: A degree in Computer Science, Mathematics, Physics, or a related field. Extensive experience in building machine learning models for tasks like recommendations, segmentation, forecasting, and optimising marketing spend. Proficiency in Python, SQL, Bash … clients can easily understand and act on. Nice-to-Have: A deep understanding of the marketing ecosystem, including media measurement solutions like media mix modelling. Experience with RNNs, NLP, Computer Vision, GenAI, CausalAI, GraphAI, and advanced techniques. Familiarity with versioning models (MLFlow), API design (FastAPI), and building custom dashboards (Dash). Why You’ll Love It Here: Variety More ❯

history going back 3 continuous years Unspent criminal record check (Disclosure and Barring Service) Your Role We are looking for individuals with strong technical knowledge in machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills. You will design and build deployable solutions at scale, collaborate with clients to identify problems More ❯

Experience in applied research PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We More ❯

Experience in applied research PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We More ❯

business application Experience in applied research Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We More ❯

Design and 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. Assess latest Agentic AI platforms/frameworks and implement the right fit for More ❯

continuously seek to learn and improve. Ideally, you bring strong programming skills and can rapidly learn new programming languages. You may come from a background in mathematics, statistics, analytics, computer science, engineering, or a related field, but we don't expect everyone to fit a single profile. We value diversity of thought and experience and offer development support for … or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or experience with Natural Language Processing (NLP), Natural Language Generation (NLG), or Computer Vision. Awareness of enterprise graph technologies or network analysis techniques. Experience with cloud platforms like Microsoft Azure or Google Cloud Platform (GCP); familiarity with Databricks is a plus. Comfort More ❯

continuously seek to learn and improve. Ideally, you bring strong programming skills and can rapidly learn new programming languages. You may come from a background in mathematics, statistics, analytics, computer science, engineering, or a related field, but we don't expect everyone to fit a single profile. We value diversity of thought and experience and offer development support for … or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or experience with Natural Language Processing (NLP), Natural Language Generation (NLG), or Computer Vision. Awareness of enterprise graph technologies or network analysis techniques. Experience with cloud platforms like Microsoft Azure or Google Cloud Platform (GCP); familiarity with Databricks is a plus. Comfort More ❯

on a mission to revolutionise the built environment with their cutting-edge 3D reconstruction and scene understanding system. They are seeking a Research Engineer with a strong background in computer vision, geometry processing, computer graphics, and machine learning. This role offers an exciting opportunity to work on challenging problems, develop innovative solutions, and see your contributions become … integral parts of a disruptive technology-focused business. What you'll do: As a Research Engineer (Computer Vision), you will play a pivotal role in shaping the future of our client's technology. Your expertise in computer vision techniques will be crucial as you work with image and 3D datasets, developing new skills along the way. … to create production-quality, robust code for industrial-scale use. Maintain, improve, and optimise algorithms to enhance performance and efficiency. Stay updated with the latest technologies and research in computer vision, computer graphics, and machine learning. Communicate the latest advances to the wider team when they should be applied to our data. Work closely with the team More ❯

Neurolabs is looking for a talented Senior Machine Learning Engineer to join our team. As an ML Engineer at Neurolabs, you will be responsible for developing, implementing, and optimizing Computer Vision models that empower our retail automation solutions. Your expertise will play a crucial role in transforming images into structured data and driving product enhancements that meet our … client's needs. We are committed to democratising Computer Vision in the retail space, and your contributions will directly influence the impact of our solutions across various sectors. Responsibilities Model Development: Design, build, and deploy Large Vision Models (LVMs) for applications focused on enhancing customer experience, workforce efficiencies, and product performance Data Preparation: Collaborate with data engineers … model architectures and hyperparameters to improve performance throughput while maintaining efficiency Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and platform engineers, to deliver integrated Computer Vision solutions Performance Monitoring: Monitor live models and performance metrics, troubleshoot issues, and implement updates as necessary to ensure optimal performance Continuous Learning: Stay updated with the latest More ❯

functional teams to understand data needs Utilise data visualisation tools to communicate findings effectively Work with SQL and cloud platforms (Azure) for data management and deployment Apply expertise in computer vision, large language models (LLMs), and statistical analysis Requirements: Strong proficiency in Python and machine learning libraries Understanding of machine learning algorithms and model training/deployment Experience … with computer vision and LLM applications Skills in statistical analysis and data visualisation techniques Hands-on experience with SQL and Azure cloud platform Knowledge of MLOps practices for scalable and reliable model deployment Excellent analytical and communication skills Project details: Multi-year project, flexible start date, competitive rates, London-based (3 days in office), FTE or Contract. Synechron More ❯

understanding (text and visual), supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, product similarity, using GenAI, LLMs, NLP and Computer Vision. Key job responsibilities As an Applied Science Manager, you will be responsible to design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact … research work where opportunities arise. You will impact the large product strategy, identifies new business opportunities and provides strategic direction to the team. BASIC QUALIFICATIONS - Master's degree in Computer Science, Statistics, Electrical Engineering, or Mathematics with specialization in specialization in Machine Learning, statistical modeling, or Deep learning. 5+ years of working experience in solving machine learning problems and … and verbal communication skills PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need More ❯

in an agile environment to deliver high quality software. BASIC QUALIFICATIONS • Graduated less than 24 months ago or about to complete a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or related fields at time of application • Knowledge of Computer Science fundamentals • Experience with Natural Language Processing, Computer Vision, or Deep Learning … well as ability to think abstractly • Experience with Natural Language Processing: Java or Python, and ML, AI, Labeling, Annotation, Data Pipeline, Big Data, AWS, or Cloud Services • Experience with Computer Vision: Kernel, Hardware Accelerator, TVM, or Code-gen • Experience with Deep Learning: C++ or Python, and AI, Neural Network, Tensorflow, PyTorch, MxNET, Llvm, Compiler, CPU, CUDA, Nvidia, TensorRT More ❯

optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Desirable: Prior experience within the defence, aerospace, or national security sectors Familiarity with computer vision, signal processing, or natural language processing Exposure to MLOps, edge computing, or synthetic data generation Knowledge of government or MOD procurement and technical frameworks is an advantage … optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Desirable: Prior experience within the defence, aerospace, or national security sectors Familiarity with computer vision, signal processing, or natural language processing Exposure to MLOps, edge computing, or synthetic data generation Knowledge of government or MOD procurement and technical frameworks is an advantage More ❯

customers imagine, design, and make a better world. We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction. This role will report to a Manager of Research Science in the AI Lab. … practices Explore new data sources and discover techniques for best leveraging data Minimum Qualifications A Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, and … Kingdom 2 weeks ago London, England, United Kingdom 5 months ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 weeks ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago Machine Learning Engineer for Game Technology London, England, United Kingdom 2 weeks ago More ❯