1 to 25 of 84 Computer Vision Jobs in the UK

Computer Vision Engineer - Masters Grad Considered A brilliant opportunity for a Computer Vision Engineer or Masters Graduate to work for an exciting start-up in Saffron Walden, Essex, that is tackling some of the worlds most pressing challenges. The company is founded by a team … offers the chance to work in an environment filled with technological innovation whilst working on cutting-edge tech. You will apply your knowledge in computer vision systems, from initial design through to product launch. This role is open to both experienced Computer Vision Engineers and Masters ...

make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time Computer Vision Engineer position is based onsite in our brand-new Ultralytics office in London, UK. … Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. 🚀 What You'll Do As a Computer Vision Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class, open-source AI models. You will drive ...

Senior Applied Machine Learning/Computer Vision Engineer Oxford - hybrid working c£90-130k DoE + Equity We're seeking a Senior Applied Machine Learning/Computer Vision Engineer to develop and deploy machine learning models for a cutting-edge multi-camera perception system. This … ownership of turning advanced models into robust, real-world components - from training pipelines through to deployment on edge systems. The Senior Machine Learning/Computer Vision Engineer role combines hands-on engineering with applied research, with opportunities to contribute to state-of-the-art work suitable for venues ...

/Postdoc (or equivalent) with advanced development knowledge of computer vision applications Saffron Walden (nr Cambridge); to c£58,000 DoE Based in offices in Saffron Walden, this expanding tech company are utilising AI within their core products. This extends to the use of computer vision for monitoring and tracking. As their next Computer Vision Physicist/Engineer, youll deliver projects from concept through design, prototype to product release. Key responsibilities would involve the design of optical systems (lenses, mirrors, sensors) and optimising them for VIS, NIR and FIR application. This would include ...

Principal AI/ML Engineer - Technical Lead Manchester, UK (Hybrid or Remote) I’m currently partnering with a highly innovative AI company building advanced Computer Vision and visual intelligence technology deployed at global scale. This is not a research-only role or a position focused on experimenting … production pipeline, covering data ingestion, organisation, annotation strategy, model training, validation, optimisation, deployment, and monitoring. The focus is on building industrial-grade Computer Vision systems that perform reliably outside the lab - with real constraints around latency, scalability, reliability, and throughput. You’ll work closely with Engineering, Product ...

Computer Vision Research Engineer About iProov iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative … Waterloo - Hybrid Comp: Up to £60k (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits iProov is looking for a Computer Vision Research Engineer to join our Biometric Platform team. You will be responsible for working on the biometric systems, developing new techniques ...

Senior Computer Vision, ML Engineer PhD in CV/AI/Robotics 3D Vision & Multi-Camera Systems Oxford - hybrid working c£110-150k DoE + Equity Were seeking a Senior Computer Vision Engineer to work on novel perception technology at the intersection of research … technical leaders to design and implement the core geometry and perception pipeline - spanning camera calibration, multi-view correspondence, and 3D scene understanding. The Senior Vision Engineer role is deeply hands-on but also offers the opportunity to contribute to state-of-the-art applied research, with scope for publication ...

scientists, we are positioned at the intersection of two explosive growth markets: AI and beauty tech. We are looking for a Mid-Level Computer Vision/Deep Learning Engineer to join our team. In this role, you won't just be researching models in a vacuum … lifecycle from prototyping computer vision algorithms to pushing production-ready deep learning models that directly impact our clients and their customers. What You’ll Do: Build & Innovate: Design, train, and deploy advanced CV/DL models for skin image analysis, tackling challenges in image classification, segmentation, regression ...

/Postdoc (or equivalent) with advanced development knowledge of computer vision applicationsSaffron Walden (nr Cambridge); to c£58,000 DoE Based in offices in Saffron Walden, this expanding tech company are utilising AI within their core products. This extends to the use of computer vision for monitoring and tracking. As their next Computer Vision Physicist/Engineer, youll deliver projects f... LFWQ1_UKTJ ...

/Postdoc (or equivalent) with advanced development knowledge of computer vision applications Saffron Walden (nr Cambridge) to c£58,000 DoE Based in offices in Saffron Walden, this expanding tech company are utilising AI within their core products. This extends to the use of computer vision for monitoring and tracking. As their next Computer Vision Physicist/Engineer, youll deliver projects f... WKCL1_UKTJ ...

with the founders, you will influence both the technical roadmap and future diversification into new application areas. Key responsibilities include: Developing machine learning and computer vision models focused on human attention, perception, and intent Designing and running experiments independently across visual and spatial data Working with multimodal … research in leading academic venues while working on applied problems Your Skills and Experience PhD or near completed PhD, or equivalent research experience, in computer vision, machine learning, neuroscience, cognitive science, robotics, HCI, or a related field Strong publication record, ideally at venues such as CVPR or ICCV ...

Join the team powering the future of vision AI Hello, hola, 你好, こんにちは, नमस्ते, hallo, bonjour! Thanks for stopping by — we know your time is valuable, so here's what makes Ultralytics special. 🔥 Who we are At Ultralytics, we're on a mission to simplify AI for everyone . … creators of the world's leading Ultralytics YOLO models, we empower millions of developers, researchers, and companies worldwide to build state-of-the-art computer vision applications. Following our $30M Series A round , we're expanding rapidly across our global hubs in London, Madrid, and Shenzhen . This ...

simulate how people attend to and interact with complex visual and spatial environments. You will work on real‐world problems that connect machine learning, computer vision and cognitive modelling, with a strong emphasis on hands‐on experimentation and practical impact. This position is well suited to researchers interested … clearly through notes, demos, presentations and code Contribute to research direction and technical roadmap Essential requirements PhD in a relevant field (e.g. machine learning, computer vision, robotics, HCI, cognitive science, neuroscience or graphics) Strong research track record (top‐tier publications, patents or substantial open‐source work) Hands ...

scalable production software, rather than purely research-focused individuals. You will work on a broad range of AI challenges spanning multimodal AI, machine learning, computer vision, LLMs, RAG architectures, transformer models, audio processing and intelligent automation features within a highly collaborative engineering environment. Location: Cambridge, UK. Hybrid working … TypeScript and React, prior experience with these technologies is not required Interest and exposure across AI technologies such as machine learning, LLMs, RAG systems, computer vision, multimodal AI or transformer architectures Ability to work across both research/prototyping and production engineering Strong problem-solving ability and analytical ...

Games) – upto £130k +Equity – Hybrid London Built agents that actually act in the real world, not just predict? Worked with multimodal models, images, video, vision, and turned them into systems that make decisions and recover when things go wrong? Enjoy solving messy, real problems where reliability matters more than … production. What you’ll be building Multimodal agents that reason over images and video, often across multiple frames, and decide what to do next Vision driven agents that interact with real games, tapping, swiping, clicking, navigating Systems that follow loops, observe, decide, act, recover, not fixed scripts Automation that ...

Senior Computer Vision, ML Engineer PhD in CV/AI/Robotics 3D Vision & Multi-Camera Systems Oxford - hybrid working c£110-150k DoE + Equity Were seeking a Senior Computer Vision Engineer to work on novel perception technology at the intersection of research ...

Senior Applied Machine Learning/Computer Vision Engineer Oxford - hybrid working c£90-130k DoE + Equity We're seeking a Senior Applied Machine Learning/Computer Vision Engineer to develop and deploy machine learning models for a cutting-edge multi-camera perception system. This ...

expanding into new application areas such as aerospace, immersive technologies, and assistive systems. The Role You will work at the intersection of machine learning, computer vision, and cognitive science to build models that predict and interpret human attention and behaviour in visual and spatial contexts. Key responsibilities include … small engineering-focused team.Contributing ideas proactively in an open, research-driven environment. Your Skills and Experience PhD, near-complete PhD, in machine learning, computer vision, AI, cognitive science, neuroscience, HCI, robotics, or a related field. Evidence of strong research output such as publications at leading computer vision ...

scalable and production-ready. Alongside this, you will shape tooling, standards and long-term technical direction. Key responsibilities * Design and develop scalable LiDAR and vision-based mapping pipelines * Build and optimise 2D and 3D map representations (occupancy grids, HD maps, semantic layers) * Lead multi-sensor fusion across LiDAR, cameras … reconstruction research into robust production systems * Mentor engineers and contribute to technical best practice Senior Mapping Engineer essential skills * MSc or PhD in Robotics, Computer Vision, Computer Science or similar * 4-5+ years' commercial experience in robotics or autonomous mapping * Strong LiDAR and point cloud processing ...

/Postdoc (or equivalent) with advanced development knowledge of computer vision applications Saffron Walden (nr Cambridge); to c£58,000 DoE Based in offices in Saffron Walden, this expanding tech company are utilising AI within their core products. This extends to the use of computer vision ...

challenges and building reliable, high-quality software used in real-world environments. You’ll work closely with software developers as well as specialists in computer vision and navigation technologies, contributing to the design and development of innovative products across a variety of projects. The role offers broad technical … development of scalable and maintainable system architectures Collaborate with engineers and technical specialists to deliver integrated software solutions Work on systems involving navigation technologies, computer vision, sensor integration, and intelligent automation Build robust, reliable, and high-performing software for real-world applications Participate in troubleshooting, debugging, and performance ...

with your AE partner. Hold technical conversations. We don’t need you to write code. But you will discuss model architecture, deployment patterns, and computer vision use cases credibly with ML engineers and technical buyers. You will be expected to understand and consult on your client … outcomes for budget owners. Prior experience with technical or developer-facing products (open source, APIs, ML/AI) is strongly preferred — we'll teach computer vision if you've done the harder work of being technical in a commercial seat. You can build trust. Some of your accounts ...

stereo camera pipelines and real-time deep neural inference. You will work closely with robotics, embedded, and systems engineers to bring cutting-edge vision intelligence into production agricultural environments What You Will Do: - Design and implement machine learning pipelines for image segmentation, object detection, and 3D scene reconstruction. - Train … broader system architectures. - Maintain thorough documentation of model architectures, experiment results, and deployment procedures. What You Will Bring: - Proven experience in machine learning or computer vision engineering, with a strong understanding of CNN architectures such as YOLO. - Proficiency in C, C++, Python and familiarity with Linux-based development ...

What you will do as a Senior ML Engineer Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics. Own the ML lifecycle from data preparation through training, evaluation, and deployment. Implement and maintain MLOps workflows for continuous integration and delivery of ML models. … developing and deploying machine learning models in production environments. Proven experience with the OpenCV framework and various object detection models, including YOLO, RCNN, and Vision models, along with a clear understanding of when to apply each model. Proficiency with object detection concepts. Experience in video analysis, particularly optical flow ...

level operating systems (e.g., QNX, Linux, Android) Strong programming skills in C/C++ and scripting languages such as Python Hands-on experience with computer vision and deep learning frameworks (e.g., OpenCV, OpenCL, PyTorch, TensorFlow, Caffe/Caffe2) Experience with both supervised and unsupervised machine learning, including computer vision, NLP, and LLM-based systems Familiarity with ML/MLOps pipelines for development and deployment Solid understanding of ML/DL fundamentals (e.g., CNNs, object detection, segmentation) Knowledge of neural network operations, linear algebra, and quantization techniques Experience optimizing neural networks for embedded systems (latency, throughput, power ...