51 to 75 of 186 Computer Vision Jobs in the UK excluding London

AI Research Team's portfolio by publishing novel research in top-tier journals and conferences. Are you the right candidate? Ph.D. in Machine Learning, Computer Science or a related field. 7+ years of experience in machine learning, with a focus on NLP. Proven track record of research excellence and … innovation in computer vision or NLP. Deep understanding of machine learning systems, from concept through to deployment, with the ability to communicate effectively to both technical and non-technical stakeholders. Proficiency with machine learning frameworks, such as PyTorch or TensorFlow. Strong expertise in deep learning algorithms, model architectures More ❯

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 … 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 … 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 More ❯

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 … 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 … 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 More ❯

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 … 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 More ❯

clear and concise documentation for AI models, code, and processes to ensure efficient collaboration and reproducibility. Preferred Skills: Experience with NLP (Natural Language Processing), computer vision, or reinforcement learning. Mathematics & Algorithms: Strong knowledge of linear algebra, probability, statistics, and optimization techniques. Knowledge of MLOps, CI/CD pipelines More ❯

Experience building machine learning models or developing algorithms for business application - Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals - Proven achievements of developing and managing a long-term research … vision and portfolio of research initiatives, with algorithms and models that have been successfully integrated in production systems. 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 ❯

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/ More ❯

numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms Experience in professional software development Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have More ❯

business. Requirements: 4+ years of experience A degree in STEM field or equivalent and advanced degree. Strong knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages preferred, particularly HTML+CSS+JavaScript, or low-level More ❯

model), Sniper, and others. Proficient in benchmark analysis and characterization. Experience in GPGPU performance analysis Great knowledge of theory and practice of deep learning, computer vision, natural language processing, or computer graphics Strong programming skills in languages such as C++ and Python. Experience with frameworks like TensorFlow More ❯

model), Sniper, and others. Proficient in benchmark analysis and characterization. Experience in GPGPU performance analysis Great knowledge of theory and practice of deep learning, computer vision, natural language processing, or computer graphics Strong programming skills in languages such as C++ and Python. Experience with frameworks like TensorFlow More ❯

model), Sniper, and others. Proficient in benchmark analysis and characterization. Experience in GPGPU performance analysis Great knowledge of theory and practice of deep learning, computer vision, natural language processing, or computer graphics Strong programming skills in languages such as C++ and Python. Experience with frameworks like TensorFlow More ❯

machine learning engineers, product teams, and domain experts to design and deploy AI models that solve real-world problems. From natural language processing to computer vision and predictive analytics, you’ll get hands-on experience across a range of AI applications that are changing how we work and … early-career benefits, and fast-track development opportunities in the AI space. What We’re Looking For: A degree in Artificial Intelligence, Data Science, Computer Science, Mathematics, or a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). More ❯

concepts to non-technical teams. Desirable: Knowledge of data engineering, big data, and ML Ops best practices. Experience with NLP, forecasting, recommendation systems, or computer vision. Track record of leading AI projects from idea to production. Understanding of AI ethics and bias mitigation. Familiarity with CI/CD, Docker More ❯

the way surgery is performed and improve patient care. Qualifications The following are essential credentials for this role. Master’s Degree or higher in Computer Science, Mathematics, Physics or a related discipline Excellent familiarity with C++ and Python Confidence handling natural (2D) images and developing Computer Vision … 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. More ❯

machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Understanding and More ❯

novelty detection, clustering Deep Learning e.g. Deep reinforcement learning, Monte-Carlo tree search, deep regression/classification, deep embeddings, recurrent Networks, natural language processing Computer Vision algorithms e.g. Structure from motion, image Based navigation, SLAM, pose estimation/recovery To be considered for the Stevenage office, applicants are More ❯

machine learning engineers, BI, and solutions architects to develop technical architectures for F&N enterprise projects and initiatives. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. What can you expect from Mars? Work with diverse and talented Associates, all guided More ❯

CNNs, RNNs - Training using gradient and RL based learning - Pytorch preferably, Tensorflow and Keras OK - 3D physics simulations - Python Comfortable with: - Working in 3D - Computer graphics concepts: meshes, point clouds, rendering - Computer vision concepts Nice to have experience with: - Control theory - Kalman filters Good mathematics background Portfolio More ❯

Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary More ❯

predictive modelling. Strong background in revenue forecasting, demand prediction, or similar fields. Proficiency in Python, SQL, AWS and experience with ML frameworks. Experience in Computer Vision is a plus. Strong academic background (master's from Cambridge, UCL, Imperial, or similar preferred). Why Join? Be part of a More ❯

Hybrid freedom: Mostly remote, with occasional travel to meet the team. What You'll Do Design and develop ML models from scratch for NLP, computer vision, or generative AI Collaborate with engineers and designers to ship end-to-end features Work across the stack (Python, backend, and some More ❯

development best practices, including version control, testing, and debugging. Ability to design and develop APIs for AI models. Strong academic background: A degree in Computer Science, Artificial Intelligence, or a relevant area of study is highly desirable. Experience with NLP or computer vision: Experience with containerization technologies More ❯

recruiting efforts from a technical perspective. • Support race events from the “war room” at the race shop. Qualifications: • Bachelor’s degree in engineering, technology, computer science, human factors engineering, or related field of study • Minimum two years of programming and analysis experience using any contemporary language and/or … data structure (eg SQL, Python, R, PowerBI, etc) • Minimum one year of video analysis or computer vision experience • Basic skills in computer networking and management/troubleshooting of IT infrastructure equipment, including network switches, cameras, wireless intercoms, and video recording equipment • Understanding of contemporary athletic performance evaluation More ❯

recruiting efforts from a technical perspective. • Support race events from the “war room” at the race shop. Qualifications: • Bachelor’s degree in engineering, technology, computer science, human factors engineering, or related field of study • Minimum two years of programming and analysis experience using any contemporary language and/or … data structure (eg SQL, Python, R, PowerBI, etc) • Minimum one year of video analysis or computer vision experience • Basic skills in computer networking and management/troubleshooting of IT infrastructure equipment, including network switches, cameras, wireless intercoms, and video recording equipment • Understanding of contemporary athletic performance evaluation More ❯