1 to 25 of 36 Computer Vision Jobs in the East of England

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 ❯

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 ❯

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 ❯

across areas such as multi-modal fusion, geospatial intelligence, and intelligent decision support. The Opportunity You’ll join a 35+ person AI & Machine Learning capability, collaborating across disciplines including computer vision, NLP, knowledge representation, and reinforcement learning. This hands-on role focuses on applied research and technical delivery—spanning early-stage concept exploration to proof-of-concept demonstrators … partners, and internal teams to deliver mission-relevant innovation • Support mentoring and knowledge sharing within the wider AI/ML group About You • PhD or Master’s degree in Computer Science, Machine Learning, Data Science, or related field • 3+ years' experience in applied R&D or research consultancy (public sector/defence background advantageous) • Strong Python skills and experience More ❯

across areas such as multi-modal fusion, geospatial intelligence, and intelligent decision support. About the Opportunity Youll join a 35+ person AI & Machine Learning capability, collaborating across disciplines including computer vision, NLP, knowledge representation, and reinforcement learning. This hands-on role focuses on applied research and technical deliveryspanning early-stage concept exploration to proof-of-concept demonstrators for … academic partners, and internal teams to deliver mission-relevant innovation Support mentoring and knowledge sharing within the wider AI/ML group About You PhD or Masters degree in Computer Science, Machine Learning, Data Science, or related field 3+ years' experience in applied R&D or research consultancy (public sector/defence background advantageous) Strong Python skills and experience More ❯

Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published work within, related academic fields such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers, LLMs, NER, GANs, Reinforcement Learning More ❯

junior scientists and developers. Design, develop, and evaluate novel AI/ML algorithms and prototypes. Collaborate with cross-functional teams across areas such as radar, sonar, autonomy, NLP, and computer vision. Produce and present high-quality technical reports, proposals, and supporting materials for both technical and non-technical audiences. Publish research in peer-reviewed journals or present at academic More ❯

drive collaborative research with academia and external partners. This role offers a unique blend of hands-on AI development and strategic technical influence across programmes in radar, sonar, NLP, computer vision, and large language models. What you'll be doing: Leading delivery of high-impact AI/ML research and development projects Providing engineering assurance across bids, publications … leading teams and performing technical assurance across large R&D projects Strong Python skills and familiarity with frameworks like PyTorch, TensorFlow, scikit-learn Expertise in one or more of: computer vision, reinforcement learning, NLP/LLMs, knowledge graphs, RF/EO sensor data, autonomy Please note: Due to the nature of the work, candidates must be eligible for More ❯

our cutting-edge drone squad technology. Who we are Mutable Tactics is a pioneering technology company specializing in advanced autonomy for squad robotic systems. We’re blending cutting-edge computer vision, ML, multi-agent AI and probabilistic inference techniques into autonomous UxV solutions for complex, mission-critical operations. Our team is dedicated to pushing the boundaries of robotics … controls. 7+ years experience with in embedded systems , robotics software, or unmanned systems development (including RL and synthetic data generation). Experience with real-time systems . Experience with computer vision frameworks (OpenCV, YOLO, tensorflow, pytorch, etc.) What will set you apart Multi-agent systems experience Experience with real-time systems or robotics middleware Familiarity with sensor integration More ❯

related languages Experience with neural deep learning methods and machine learning Experience with Large Language Models (LLMs) or multimodal systems PREFERRED QUALIFICATIONS PhD in Mathematics, Statistics, Engineering, Machine Learning, Computer Science, or related discipline 4+ years of industry or postdoctoral experience in machine learning Experience with patents or publications at top-tier peer-reviewed conferences or journals Experience with … popular deep learning frameworks such as MxNet, PyTorch, or TensorFlow Experience in building large-scale machine learning systems Proficiency in state-of-the-art Natural Language Processing (NLP) and Computer Vision (CV) deep learning models Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation More ❯

ll head up a 4-person Knowledge & Semantics research group within a wider AI & Machine Learning capability (35+ scientists and engineers) that works across domains such as reinforcement learning, computer vision, signal processing, geospatial data, and applied machine intelligence. This is a hands-on research leadership role where you'll guide technical direction, shape R&D proposals, and … delivery across projects • Present findings to both technical and non-technical audiences • Engage with external collaborators, including academia and innovation partners About You • PhD (ideally in AI, Machine Learning, Computer Science, or related field) + 4+ years post-doctoral or industry R&D experience • Strong experience leading small R&D teams (ideally 5+ people) • Demonstrated success in writing and More ❯

and development goals. Who You Are - Proven track record leveraging machine learning to solve real-world problems; Expertise in one or more of the following: generative models, language models, computer vision, bayesian inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning; Experience writing production-quality code with modern machine learning frameworks such … mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities. Minimum Qualifications - Masters or Ph.D. degree in a quantitative/computational field such as computer science, artificial intelligence, mathematics, statistics, physics, or computational biology, or equivalent experience; Experience in developing machine learning models; Very strong programming skills, including experience with Python and deep learning More ❯

We're looking for a Lead Technologist to help guide a technically diverse AI/ML team tackling real-world, mission-critical challenges across reinforcement learning, natural language processing, computer vision, remote sensing, and signal intelligence. You’ll play a pivotal role—blending deep expertise with technical assurance, mentorship, and strategic influence. Why Join? Lead game-changing projects … in AI for RF, radar, acoustics, LLMs, knowledge graphs, vision, and edge autonomy Work across research & delivery , helping ideas evolve from concept to operational capability Engage with top-tier academics and shape collaborative research with universities Mentor and elevate a multidisciplinary team of scientists and engineers Hybrid working —typically 2 days onsite with flexible remote options One-stage interview More ❯

We are currently recruiting on behalf of a leading start-up business set for significant growthfor the role of Senior Computer Vision Engineer . This is a rare opportunity to join an ambitious, fast-scaling company at a pivotal stage. What you’ll be doing: Design, build, and deploy Large Vision Models (LVMs) to enhance customer experiences … quality data pipelines. Optimise model architectures and tune hyperparameters to maximise throughput while maintaining computational efficiency. Work closely with software engineers, product managers, and platform engineers to deliver seamless computer vision solutions. Monitor deployed models by analysing performance metrics, troubleshooting issues, and implementing updates to maintain optimal results. Stay up to date with the latest machine learning and … computer vision advancements, applying new techniques to strengthen solutions and drive innovation. Main Skills/Requirements: Master’s degree in Computer Science, Data Science, or a related field — or equivalent practical experience, with a strong focus on machine learning Over 5 years of experience deploying computer vision models in production environments Advanced proficiency in Python More ❯

/week As a Lead Technologist in AI & ML, you’ll play a pivotal role in shaping the future of intelligent systems across a wide range of domains, from computer vision and NLP to reinforcement learning and signal processing. This is a senior leadership position for a seasoned expert who combines deep technical expertise with strategic vision … advanced research and development. Demonstrated leadership in R&D and engineering assurance across multidisciplinary teams. Deep expertise in areas such as reinforcement learning, natural language processing, large language models, computer vision, or signal processing. Exceptional communication and proposal development skills , with a track record of securing and delivering high-impact projects. If you're ready to take on More ❯

technical solutions in graph machine learning and semantic technologies Secure funding through successful proposal writing and manage stakeholder engagement Contribute to multi-disciplinary teams including work in reinforcement learning, computer vision, RF & EW, and sonar Essential Skills & Experience: PhD qualified with a minimum of 4 years’ postdoctoral or commercial research experience Proven leadership of R&D teams (minimum More ❯

NLP/LLMs; knowledge graphs and graph based neural networks; AI for RF and EW, radar, sonar, acoustics, AI for image and video recognition tasks. The latter includes both computer vision and remote sensing application areas. You should have existing skills in the latest developments in Artificial Intelligence and Machine Learning. You are also likely to have a More ❯

ML professional who can provide technical leadership across a portfolio of advanced R&D programmes. You will guide both internal delivery and external engagement in domains including NLP, LLMs, computer vision, reinforcement learning, and AI for sensor applications. The role blends hands-on innovation with assurance, mentoring, and proposal direction. Key Requirements: PhD in a relevant field with More ❯

ML professional who can provide technical leadership across a portfolio of advanced R&D programmes. You will guide both internal delivery and external engagement in domains including NLP, LLMs, computer vision, reinforcement learning, and AI for sensor applications. The role blends hands-on innovation with assurance, mentoring, and proposal direction. Key Requirements: PhD in a relevant field with More ❯

ML professional who can provide technical leadership across a portfolio of advanced R&D programmes. You will guide both internal delivery and external engagement in domains including NLP, LLMs, computer vision, reinforcement learning, and AI for sensor applications. The role blends hands-on innovation with assurance, mentoring, and proposal direction. Key Requirements: PhD in a relevant field with More ❯

ML professional who can provide technical leadership across a portfolio of advanced R&D programmes. You will guide both internal delivery and external engagement in domains including NLP, LLMs, computer vision, reinforcement learning, and AI for sensor applications. The role blends hands-on innovation with assurance, mentoring, and proposal direction. Key Requirements: PhD in a relevant field with More ❯

Senior Researcher - Computer Vision & Deep Learning (Vision + Language) Hybrid | Full-time | Permanent Up to £115k A leading AI research centre is seeking a talented Researcher in Computer Vision and Deep Learning to join its Team. The role focuses on cutting-edge Vision and Language research with the goal of publishing at top-tier … venues and enabling long-term technology transfer to real-world products. Research Focus Areas Include: Vision-Language Models (e.g. CLIP, BLIP, LLaVA) Generative Models (e.g. Stable Diffusion) Efficient Architectures & Model Compression Scalable Adaptation of Large Models Key Responsibilities: Conduct innovative research and prototype new models Publish in leading ML/CV conferences (e.g. CVPR, NeurIPS, ICLR) Collaborate with internal … teams to support technology transfer Requirements: Strong background in Computer Vision and/or Machine Learning Experience with PyTorch or similar DL frameworks Track record of publications in top-tier venues Excellent communication and collaboration skills What's Offered: A high-impact research environment with academic freedom Opportunity to see your research in real-world products Up to More ❯

volumetric data). Increasingly, software architecture is a consideration. Python, TensorFlow, Keras, PyLattice or similar technologies would be indicative; additional languages such as C++ are also acceptable. Familiarity with computer vision, big data, geometric feature extraction, cellular imaging, timelapse imaging and tracking, volumetric tiling, voxel imaging, 3D graphics, spherical harmonics (3D, or 4D hyperspherical), light-sheet microscopy, particle More ❯

commercial domains. This role offers a blend of technical leadership, research direction, and hands-on assurance responsibilities, with opportunities to shape innovation in areas such as NLP, reinforcement learning, computer vision, graph neural networks, and sensor-based AI systems. Key Responsibilities: Lead the technical delivery of complex AI/ML projects, overseeing the preparation and review of technical More ❯

volumetric data). Increasingly, software architecture is a consideration. Python, TensorFlow, Keras, PyLattice or similar technologies would be indicative; additional languages such as C++ are also acceptable. Familiarity with computer vision, big data, geometric feature extraction, cellular imaging, timelapse imaging and tracking, volumetric tiling, voxel imaging, 3D graphics, spherical harmonics (3D, or 4D hyperspherical), light-sheet microscopy, particle More ❯