126 to 150 of 1,196 Computer Vision Jobs in the UK

as AI/ML for RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, agent-based ML, autonomy, ML for signal processing, edge ML, image analysis and computer vision, generative AI, deep fake, LLMs, knowledge graphs, NLP, graph ML and others. You will have the opportunity to work with these colleagues in multi-disciplinary teams. Typical More ❯

you work with others. Key Responsibilities Collaborate with cross-functional teams to scope, design, and implement AI solutions, Develop and validate models for structured and unstructured data (e.g. NLP, computer vision, time series), Translate complex business requirements into scalable, production-ready pipelines, Where applicable, contribute to model monitoring, CI/CD integration, and post-deployment support, Engage directly More ❯

R, SQL, Spark, TensorFlow, PyTorch, etc. Experience in working with large and complex datasets, both structured and unstructured, and applying advanced techniques such as deep learning, natural language processing, computer vision, or reinforcement learning. Expert knowledge of regression, classification and other machine learning techniques. A passion for innovation and continuous learning, and a willingness to share knowledge and More ❯

you work with others. Key Responsibilities Collaborate with cross-functional teams to scope, design, and implement AI solutions, Develop and validate models for structured and unstructured data (e.g. NLP, computer vision, time series), Translate complex business requirements into scalable, production-ready pipelines, Where applicable, contribute to model monitoring, CI/CD integration, and post-deployment support, Engage directly More ❯

re on a mission to transform the used car market. About the role: We're looking for an experienced and driven Lead Machine Learning Engineer to lead our Machine Vision team. This role focuses on taking full responsibility for developing, deploying, and maintaining high-quality, performant computer vision models, including classification, object detection, and segmentation production models. … to streamline vehicle profiling and transform the online vehicle selling and buying experience for all our customers - including both sellers and dealers. In this role, you'll lead the computer vision side, manage and mentor at least one Machine Learning Engineer (MLE), and collaborate closely with machine learning engineers, backend engineers, and product managers to develop scalable, high … combine technical brilliance with strong commercial acumen and understanding ofproduct needs, with pragmatic scalable and robust solutions at the core of your decision making. By applying your expertise in computer vision, leading Gen AI technologies exploration, and team leadership, you'll create cutting edge applications that push the boundary at the interface of AI in the online automotive More ❯

visual data annotation and labeling. Stay updated with the latest advancements in AI, AI frameworks, models, and proactively recommend innovative solutions. Your Experience Bachelor's degree or higher in Computer Science, AI, Engineering, Mathematics, or related fields. At least 3 years of commercial experience as an AI Engineer or similar roles. Strong proficiency in Python/C++ for AI More ❯

Engineering . This unpaid internship is designed to provide hands-on experience and portfolio-building opportunities. AI Engineers – Build and train AI models Machine Learning Engineers – Work on NLP, computer vision, & deep learning Software Engineers – Develop AI-powered applications What You’ll Gain: Real-world AI experience working on business innovation projects. A strong portfolio to boost your … Machine Learning & Deep Learning – Algorithms, neural networks, and frameworks like TensorFlow or PyTorch. Data Analysis & Visualization – Ability to work with large datasets using Pandas, NumPy, Matplotlib, or Seaborn. NLP & Computer Vision (Bonus) Software Development – Knowledge of APIs, backend systems, and full-stack development (desirably for AI-powered applications). Cloud & DevOps Basics – AWS, Azure, or Google Cloud for More ❯

JJIM R&D, focusing on developing innovative solutions using a variety of data sources across multiple different disease areas. Specifically, we are seeking an exceptional candidate with expertise in Computer Vision or AI in medical imaging. Key Responsibilities: Conceive, develop, and implement novel computer vision algorithms to address high-priority scientific problems in the field of … stratification, and disease insights. Effectively communicate highly technical methods and results to diverse audiences and partners, enabling informed decision-making. Qualifications PhD degree in a quantitative field like statistics, computer science, artificial intelligence, applied mathematics, electrical engineering, or a related area. Equivalent experience will also be considered. Demonstrated experience in driving research and applying Computer Vision techniques … and advanced image processing. Proven ability to collaborate effectively with subject matter experts. Proficiency in one or more programming languages, such as Python and C++. Extensive experience with traditional Computer Vision applications, including OpenCV, object detection, edge detection, and image segmentation. Strong publication record in high-impact journals and the ability to effectively communicate technical work to a More ❯

graph modelling with Neo4J to produce graphical representations of potential fraud rings. Our Data Scientists research and apply advanced techniques in Machine Learning, Natural Language Processing, Deep Learning, and Computer Vision to understand how we can utilise data across all components of insurance, for example in managing risk, and build solutions that enable Liberty Mutual to achieve this. … have opportunities to learn from and contribute alongside expert data scientists, and to coach and mentor emerging talent. Experience and skills we need: A third level qualification in Mathematics, Computer Science, Statistics or another quantitative field. A minimum of two years' postgraduate relevant Data Science experience in a commercial environment or completed a PhD with two years of suitable … as MongoDB, Snowflake, Spark, or Hadoop. Knowledge and experience of deploying enterprise scale data science products. Experience in coaching and mentoring team members. Experience and skills we'd love: Computer Vision Expertise: Practical experience or exposure to modern computer vision models and techniques such as ResNet, YOLO, Vision Transformers (ViTs), or similar. Solid understanding of 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 Experience: Strong proficiency in Python and machine learning libraries Strong understanding of machine learning algorithms and model training/deployment … Experience with computer vision and LLM applications Skilled 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 Multi- year Project - Flexible Start Date - Competitive Rates - London based (x3 days in office) - FTE or Contract Synechron's 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 Experience: Strong proficiency in Python and machine learning libraries Strong understanding of machine learning algorithms and model training/deployment … Experience with computer vision and LLM applications Skilled 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 Multi- year Project - Flexible Start Date - Competitive Rates - London based (x3 days in office) - FTE or Contract Synechron's More ❯

the AI and robotics strategy to achieve business goals. Lead R&D efforts in humanoid locomotion, manipulation, perception, and human-robot interaction. Oversee the development of AI algorithms for vision, control, decision-making, and autonomy. Optimize and integrate machine learning models for robotics applications, ensuring real-world scalability and efficiency. Build and manage a multidisciplinary team of engineers, researchers … hardware teams to align AI systems with robotic design. Ensure timely project delivery from prototyping to deployment in production environments. Requirements Technical Expertise Master’s or Ph.D. in Robotics, Computer Science, or a related field. 10+ years in AI and robotics, with at least 5 years in leadership roles. Deep expertise in: Machine Learning and Deep Learning frameworks (e.g. … TensorFlow, PyTorch). Robotic Operating Systems (e.g., ROS, ROS2). Computer Vision, Natural Language Processing (NLP), and Reinforcement Learning. Motion planning, sensor fusion, and control algorithms for humanoid robots. Proficiency in Python, C++, and real-time systems integration. Experience deploying and scaling AI-driven systems in production environments. Leadership and Communication Proven ability to lead diverse, high-performing More ❯

innovate with the Amazon Worldwide Returns & ReCommerce team! Key job responsibilities Design, develop, and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision Models. Use SQL to query and analyze the data. Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models. Use machine learning and … spanning from: textual, categorical, image, to speech data. We operate at large scale and rely on state-of-the-art modeling techniques to power our ML models: XGBoost, BERT, Vision Transformers, Large Language Models. Minimum Qualifications 2+ years of building models for business application experience. PhD, or Master's degree and 4+ years of CS, CE, ML or related … speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects). Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms. Experience in patents or publications at top-tier peer-reviewed conferences or journals. Our inclusive culture empowers Amazonians to deliver the best results for our customers. More ❯

Experience mentoring or leading team members Strong communication skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences. Nice to Have Degree in Computer Science, Data Science, or a related field AWS certifications (Associate, Professional, or Specialty) Knowledge of Reinforcement Learning, especially in how it applies to decision-making models Experience with Computer Vision models and frameworks, including CNNs and GANs, particularly for image data use cases Experience working in B2B or consulting environments Familiarity with DevOps or MLOps practices Why Join Firemind Work on real AI solutions with practical impact Flexible hybrid or remote work with hubs in the UK and Finland Collaborate with experienced engineers in a low-ego … Kingdom 14 hours ago London, England, United Kingdom 5 months ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 months ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly More ❯

on the latest AI trends and technologies Job details: Full-time, completely remote 1 year contract, with possibility for extension Compensation based on Experience Qualifications: Master's degree in computer science, artificial intelligence, or a related field 5+ years of experience in AI development Strong understanding of AI principles, machine learning algorithms, and natural language processing Experience with Python … Data Platform London, England, United Kingdom 1 month ago City Of London, England, United Kingdom 1 week ago London, England, United Kingdom 2 weeks ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 days ago London, England, United Kingdom 3 weeks More ❯

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 ❯

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 ❯

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 ❯

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 on a wide range … motivated. 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 More ❯