1 to 25 of 160 Permanent Computer Vision Jobs in the UK

looking for an experienced Developer with strong computer vision experience to design, build, and maintain a high-performance Software Development Kit (SDK) used in security-critical mobile applications. This role sits at the intersection of mobile engineering, applied computer vision, and SDK architecture , and will play … developers Ensure the SDK is easy to integrate, versioned correctly, and backward compatible Own the full SDK lifecycle: design, development, testing, packaging, and release Computer Vision & Biometrics Implement and optimise computer vision pipelines on mobile devices Work with camera frameworks , image processing, and real-time analysis ...

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 Computer Vision Engineer - Cheshire My Client is a specialist technology company scaling a real-time AI platform and is seeking a Senior Computer Vision Engineer to own model deployment and optimisation in production environments. Hands-on role focused on real-time computer vision … Close collaboration with systems engineers. Essential Skills & Experience Strong Python experience for ML and inference workflows Hands-on experience with PyTorch Solid grounding in computer vision fundamentals (object detection, tracking, classification) Experience deploying models into production environments Practical experience with video processing frameworks (e.g. GStreamer, FFmpeg) Experience optimising ...

Robotics & Computer Vision Engineer Location : London Salary : £50,000 - £80,000 + Equity About the Role We are seeking a Robotics Software Engineer to design, develop, and optimize intelligent robotic systems that tightly integrate perception and control. This role focuses on building reliable, real-time software that enables … that move from research and prototyping to deployment on physical robots. Responsibilities Design and implement robotic control software that bridges perception and actuation Integrate computer vision and perception systems with robotic control pipelines Develop and maintain simulation environments for testing and validation Implement and deploy real-time computer ...

Title: Machine Learning Engineer - Computer Vision Location: UK Remote/Hybrid Salary: £65,000 - £85,000 plus benefits Why Apply? This is a chance to take ownership of a clearly defined machine learning problem space within a growing technology environment focused on real-world AI applications. You will … lead the development of computer vision models used to detect damage on large commercial vehicles, working with complex imagery, challenging angles, and highly variable real-world data. The role offers genuine ownership, fast iteration cycles, and the opportunity to see your models deployed into operational use rather than ...

Technical Solutions Engineer – Deep-Tech AI (RetailTech/Computer Vision) London (Hybrid – 1 day onsite) £80–90k + Bonus + Equity Urban Digital is partnering with a high-growth deep-tech AI scale-up building on-device, self-training AI now deployed across 1,000+ Tier 1 retail … stores globally . Their platform powers real-time computer vision and PoS automation across large, distributed retail environments. This is production-grade AI operating at significant scale. They’re hiring a Technical Solutions Engineer to take full technical ownership of enterprise deployments and ongoing account success (technically). ...

Senior Computer Vision Engineer - Cheshire My Client is a specialist technology company scaling a real-time AI platform and is seeking a Senior Computer Vision Engineer to own model deployment and optimisation in production environments. Hands-on role focused on real-time computer vision ...

/Postdoc (or equivalent) with advanced development knowledge of computer vision applications Saffron Walden (nr Cambridge); £45,000 to £65,000 DoE + Benefits 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, you ll 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. ...

millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist … spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities · Develop ...

seeking a PhD Computer Vision Scientist with deep expertise in object detection, tracking, or related visual perception tasks. You’ll join our world-class research team to design, implement, and optimize algorithms that advance the state of the art in dynamic scene understanding. This role is ideal … such as CVPR, ICCV, or ECCV and is eager to apply that experience in a fast-paced, applied R&D environment. Requirements PhD in Computer Vision, Machine Learning, Robotics, or a related field. Strong research background in object detection, tracking, segmentation, or visual understanding ...

Lead the development of AI-driven, real-time sports experiences used by millions of fans. This role sits at the intersection of machine learning, computer vision, streaming data, and personalisation , shaping how live sport is analysed, understood, and experienced. About the role As AI Engineering Manager … technical direction for a critical ML domain within live sports—such as real-time insights, personalisation, ranking, or computer vision for multi-angle video. You’ll define architecture, influence roadmaps, and lead teams delivering production-grade ML systems , not just experimental models. You’ll mentor engineers and data ...

client is a high-growth AI company building computer vision and analytics software used by millions of developers and leading global enterprises. With rapid revenue growth, strong inbound demand, and a product-led motion, they are now investing heavily in brand, design, and visual consistency. 🏢 About the company … will you join? AI-powered computer vision and analytics SaaS company $30M Series A raised 3M PyPI downloads per month and strong open-source adoption 3000+ inbound leads generated last year Enterprise clients including Philips, Amazon, and Pfizer 🎨 About the role – what will you do here ...

where you’ll design, prototype, and deliver new automation features from concept to completion. What you'll be doing: Develop and test machine vision algorithms (Python, TensorFlow, OpenCV) Collaborate with software and hardware engineers to integrate your features Work on high-impact projects that accelerate discovery Mentor engineers … projects from concept to delivery, with the freedom to experiment, test, and make an impact. Cutting-edge tech – Work on automation, robotics, and machine vision that directly advances real-world scientific research. Collaborative team – Join a tight-knit group of engineers and scientists who love solving complex problems together. ...

What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring … engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data ...

What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring … engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data ...

What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring … engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data ...

What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring … engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data ...

What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring … engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data ...

What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring … engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data ...

What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring … engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data ...

What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring … engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data ...

What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring … engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data ...

What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring … engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data ...

What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring … engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data ...

What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring … engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data ...