1 to 25 of 30 Remote/Hybrid Computer Vision Jobs in the UK excluding London

Find out more about our benefits (opens in a new window) and join us to become part of something special. Overview The School of Computer Science at the University of Sheffield invites applications for a Senior Lecturer in Visual Computing and Multimodal Intelligence. Ranked as a top 100 university … research-led education and innovation. This strategic appointment seeks an outstanding academic to lead research and teaching at the intersection of visual computing, computer vision, 3D computer graphics, spatial intelligence and large multimodal models. Serving as a strategic bridge, the post-holder will connect core computer ...

ProMaterial is looking for an AI Algorithm Developer specialising in Computer Vision to advance industrial inspection technology. Responsibilities Improve the accuracy, robustness and generalisation of existing vision models Develop computer vision pipelines across training, evaluation and image processing Explore and evaluate new computer vision approaches Validate and integrate algorithms using production data About you You have strong computer vision, machine learning and Python skills, with practical experience developing or evaluating vision models. #J-18808-Ljbffr ...

leading and managing the mobile engineering team, with a tech stack spanning (in order of importance): Native iOS (Swift, SwiftUI, AVFoundation, Core ML, Vision) Native Android (Kotlin, Jetpack Compose, CameraX, ML Kit, TensorFlow Lite) Computer vision and on‐device ML for Q-ID authentication Mobile SDK design … verification APIs This is a senior leadership position for someone who is still in the code day‐to‐day. Q-ID authentication is a computer‐vision problem running on a consumer device in unpredictable lighting, on substrates ranging from paper tax stamps to gold blister packs. Small mobile ...

perception systems that generate valuable insights and support autonomous operations in complex engineering environments. You’ll work across mobile robotics, ROS2, autonomous navigation, computer vision, sensor integration and edge deployment, collaborating with multidisciplinary teams to turn complex challenges into safe, reliable and maintainable solutions with real-world impact. … reliable robotic operation, developing and validating capabilities such as obstacle detection, collision avoidance, safe rerouting, no-go zones and appropriate operator controls. Develop computer vision and perception solutions, translating operational and user needs into effective pipelines spanning image processing, deep learning, 3D perception, scene reconstruction and spatial reasoning. ...

perception systems that generate valuable insights and support autonomous operations in complex engineering environments. You’ll work across mobile robotics, ROS2, autonomous navigation, computer vision, sensor integration and edge deployment, collaborating with multidisciplinary teams to turn complex challenges into safe, reliable and maintainable solutions with real-world impact. … reliable robotic operation, developing and validating capabilities such as obstacle detection, collision avoidance, safe rerouting, no-go zones and appropriate operator controls. Develop computer vision and perception solutions, translating operational and user needs into effective pipelines spanning image processing, deep learning, 3D perception, scene reconstruction and spatial reasoning. ...

funded research and development products investigating and developing low TRL technologies. Product Development – Development and support of Synoptix products, primarily in the AI and Computer Vision (object detection and track) domains. Service Development – Development of Synoptix services, including our upcoming AI Assurance service offering. Key Responsibilities: Leading Software … wider team in project planning, requirements definition and requirements analysis. Lead software design, development, testing, deployment and maintenance for a range of AI and Computer Vision products. Contribute to a culture of continuous improvement, identifying opportunities to enhance our processes, tooling, infrastructure and development frameworks. Providing Software Engineering ...

This role gives the possibility to be on the forefront of technological evolution and accelerate innovation. Job Overview: This role focuses on supporting our Computer Vision and Machine Learning software solutions deployed by OEMs, ODMs, and ecosystem partners for Edge and Physical AI applications. You will contribute directly … technical innovation and career development as new technologies and Arm ambitions emerge. Responsibilities: Provide technical support to partners on firmware, software, Machine Learning, and Computer Vision related issues on Arm-based systems. Work closely with hardware, ML, and applications engineering peers, as well as cross-functional teams across ...

Computer Vision AI Data Scientist for eSports (KTP Associate) The design and delivery of a bespoke capability to process live streams of games and gamers to identify in-game events to support the collection of data and associated statistics Align live-captured data to improve the quality … Essex in partnership with Sports Information Services Ltd offers an exciting opportunity to a graduate with the relevant skills and knowledge to develop novel computer vision-based techniques for information capture and analysis of live-broadcasted eSports events. About the business SIS is the leading supplier ...

stakeholder requirements into scalable AI architectures, technical designs and measurable outcomes. Develop, train, evaluate and optimise machine learning models across areas such as computer vision, NLP/LLMs, time‐series analytics and autonomous systems. Build robust data processing, training and evaluation pipelines, including feature engineering, experiment tracking …/ML frameworks such as PyTorch, TensorFlow, Scikit‐Learn and Hugging Face. Proven experience developing and deploying machine learning solutions, including deep learning, computer vision, NLP/LLMs or time‐series analytics. Experience working with autonomy frameworks such as ROS2 and integrating AI into autonomous or intelligent systems. ...

stakeholder requirements into scalable AI architectures, technical designs and measurable outcomes. Develop, train, evaluate and optimise machine learning models across areas such as computer vision, NLP/LLMs, time‐series analytics and autonomous systems. Build robust data processing, training and evaluation pipelines, including feature engineering, experiment tracking …/ML frameworks such as PyTorch, TensorFlow, Scikit‐Learn and Hugging Face. Proven experience developing and deploying machine learning solutions, including deep learning, computer vision, NLP/LLMs or time‐series analytics. Experience working with autonomy frameworks such as ROS2 and integrating AI into autonomous or intelligent systems. ...

development and verification of Guidance, Navigation and Control systems for complex satellite missions. This is an exciting opportunity to work on advanced GNC and computer vision technologies, contributing to highly innovative spacecraft systems and missions. The Role You will contribute across the GNC development lifecycle, including: Developing … subsystem requirements, architectures, FDIR and V&V strategies. Supporting the integration of GNC algorithms, computer vision and GNC hardware. Working with multidisciplinary engineering teams to ensure GNC performance and system compatibility. Conducting research into emerging GNC technologies, algorithms and hardware. Supporting algorithm development, hardware selection and system integration. ...

Execution Systems, etc. Experience extending lab automation into quality labs and manufacturing lines, working with automation, business and tech teams. Strong experience in computer vision systems, embedded systems and edge AI. Track record of contributing reusable engineering patterns back to a broader team. Education Bachelor’s degree … Computer Science, Software Engineering, or equivalent practical experience. Master’s degree in Computer Science or related field is advantageous Working Pattern This is a UK based hybrid role, with a min of 2/3 days a week onsite. Fully remote working is not available. Locations ...

Software Engineer Machine Vision We are looking for an AI Software Engineer to develop software and artificial intelligence models, primarily for machine vision applications. Combining software engineering with applied AI, you will help turn visual data into practical capabilities and integrate those capabilities into reliable applications. The role … Responsibilities Design, develop and maintain software using C++, C# and Python, selecting the appropriate language for each component. Develop, evaluate and improve machine vision models and image-processing algorithms. Prepare and validate image datasets for model training and testing. Integrate AI models into software applications and processing pipelines. Investigate ...

solution architecture, Preparing and presenting analytical results to business and technical stakeholders. Qualifications 6–8+ years of professional experience in data analysis, statistical modeling, computer vision or machine learning, including at least 4 years as a Data Scientist, Hands-on experience deploying ML models to production, not just ...

Software Engineer Machine Vision X 2 We are looking for 2 AI Software Engineer to develop software and artificial intelligence models, primarily for machine vision applications. Combining software engineering with applied AI, you will help turn visual data into practical capabilities and integrate those capabilities into reliable applications. … Responsibilities Design, develop and maintain software using C++, C# and Python, selecting the appropriate language for each component. Develop, evaluate and improve machine vision models and image-processing algorithms. Prepare and validate image datasets for model training and testing. Integrate AI models into software applications and processing pipelines. Investigate ...

expect you to know everything — but we’re looking for someone who has: 3 + years of experience in data analysis, computer vision, machine learning, or statistical modeling, Practical experience with ML model deployment (on cloud or on-premise), Solid programming skills in Python (NumPy, pandas, scikit-learn ...

future 1-5 years' experience Programming Languages: Python, Java Experience with LLM, machine learning, deep learning, NLP, and computer vision Strong background in software engineering principles, including deployment and maintenance of AI systems Cloud Computing: Knowledge of cloud platforms; experience with AWS is an advantage Databases: Experience with ...

hardware, physics, and software, and bridge the gap between engineering disciplines. Desirable : Experience with optical sensors. Camera optical frame processing. Coordinate systems used in computer vision and robotics. MLOps. The chance to work on cutting-edge sensing and communications technology used by the MOD, ESA, and NATO partners. ...

systems and services for high-stakes environments. As the Principal AI Engineer at Synoptix, you will help shape the scope, direction, and technical vision of the engineering projects you lead. You will engage with both internal and external stakeholders at a high level, whilst feeding insights back … technical leader, playing a key role in advancing AI and engineering best practices. Day-to-day tasking can include: Working on high-throughput vision systems on NVIDIA Jetson hardware, involving; CUDA/TensorRT acceleration Multi-modal (thermal + optical) sensors Robust real-time tracking Exploring AI Assurance ...

containerisation, infrastructure as code, SaaS products or configurable enterprise platforms could also be useful, as could an interest in emerging technologies such as computer vision, AI, robotics, IoT and 3D visualisation. Experience within nuclear, construction, infrastructure or another regulated or safety‐critical environment can be valuable ...

containerisation, infrastructure as code, SaaS products or configurable enterprise platforms could also be useful, as could an interest in emerging technologies such as computer vision, AI, robotics, IoT and 3D visualisation. Experience within nuclear, construction, infrastructure or another regulated or safety‐critical environment can be valuable ...

Platform bring-up: Enable and configure embedded platforms, including bare-metal environments, RTOS, Zephyr, and embedded Linux. Performance optimization: Transfer and improve DSP, audio, vision, and AI workloads through the use of Arm architectural features like MVE, NEON, SVE2, and SME. Compute libraries: Develop and optimize mathematical and signal … Helium), NEON, SVE2, or assembly-level optimization. CMSIS-DSP, CMSIS-NN, or equivalent compute libraries. Ethos-U NPU or other AI accelerators. Audio processing, computer vision, or sensor fusion. TensorFlow Lite, ExecuTorch, or other embedded ML frameworks. Python scripting for automation, benchmarking, and performance analysis. Experience with FPGA ...

Experience leading and developing technical teams, including appraisals, career development and recruitment A strong, hands‐on background in software development, ideally including image processing, computer vision or scientific data analysis Strong Python development skills with industry experience Practical experience using Agile and Lean methodologies Good understanding ...

meet their objectives. AI agents and technical delivery Deliver applied AI and automation. Lead initiatives involving team members across advanced analytics, machine learning, computer vision, and intelligent automation, translating technical possibilities into practical, safe, and valuable solutions. Build agents. Guide the team through prototyping, configuration, coding, integration, testing ...

with Azure Local, Dell Distributed Private Cloud, Dell NativeEdge, VMware, Nutanix or comparable edge and hybrid infrastructure platforms. Exposure to GPU-enabled edge AI, computer vision or local AI inferencing. Understanding of enterprise cyber security, zero-trust architecture and distributed operational models. Experience supporting large-scale platform rollouts ...