6 of 6 Remote Computer Vision Jobs in Chelmsford

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 ❯

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. 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 ❯

areas such as multi-modal fusion, geospatial intelligence, and intelligent decision support. About 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 ❯

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 ❯

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 ❯