26 to 50 of 186 Computer Vision Jobs in the UK

visa sponsorship. 🚀 What You'll Do As a Solutions Engineer at Ultralytics, you will be the technical face of our organization, working directly with clients to architect and deploy computer vision solutions using the YOLO ecosystem. Key responsibilities include: Collaborating with clients to understand their use cases and challenges, architecting end-to-end solutions using YOLO models. Delivering … and continued satisfaction. Interfacing with Sales, Marketing, Engineering, and Product teams to advocate for customer needs and influence roadmap priorities. Acting as a strategic technical advisor to clients, shaping computer vision solutions that drive tangible business outcomes. Representing Ultralytics at conferences, webinars, and customer events while contributing to technical blog posts and educational materials. Your strategic vision … will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community. 🛠️ Skills and Experience 5+ years of experience in Computer Vision, Machine Learning, or applied AI roles. Excellent client-facing skills: patient, resilient, and able to communicate clearly with technical and non-technical stakeholders. Proficiency in Python and More ❯

visa sponsorship. 🚀 What You'll Do As a Solutions Engineer at Ultralytics, you will be the technical face of our organization, working directly with clients to architect and deploy computer vision solutions using the YOLO ecosystem. Key responsibilities include: Collaborating with clients to understand their use cases and challenges, architecting end-to-end solutions using YOLO models. Delivering … and continued satisfaction. Interfacing with Sales, Marketing, Engineering, and Product teams to advocate for customer needs and influence roadmap priorities. Acting as a strategic technical advisor to clients, shaping computer vision solutions that drive tangible business outcomes. Representing Ultralytics at conferences, webinars, and customer events while contributing to technical blog posts and educational materials. Your strategic vision … will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community. 🛠️ Skills and Experience 5+ years of experience in Computer Vision, Machine Learning, or applied AI roles. Excellent client-facing skills: patient, resilient, and able to communicate clearly with technical and non-technical stakeholders. Proficiency in Python and More ❯

of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM The Maritime & Manoeuvre Dominance teams at Anduril UK develop operationally relevant, multi … Autonomy algorithms to solve some of the hardest problems facing our customers. We are looking for software engineers and roboticists excited about creating a powerful robotics stack that includes computer vision, motion planning, SLAM, controls, estimation, and secure communications. ABOUT THE JOB We are looking for Senior Perception Engineers to join our rapidly growing team in London, UK. … In this role, you will be responsible for solving a wide variety of perception, estimation & tracking problems. You will work with computer vision, SLAM, trackers and filters, systems integration, and more, all whilst making pragmatic engineering trade-offs up and down the whole stack to do whatever it takes to go from streams of raw sensor measurements to More ❯

denied fields. Spacecraft that rendezvous with tumbling targets in orbit. All of these feats demand robust scene understanding from multiple sensors. That's where you come in. As a Computer Vision Engineer (Multimodal Sensing) you'll implement and refine perception algorithms that fuse cameras, LiDAR, radar, event sensors, and beyond. Working shoulder to shoulder with a top tier … tested, high performance code into flight processors, Hardware in the Loop (HIL) and Software in the Loop (SIL) setups, and real missions. What we are looking for M.S. in Computer Vision/Robotics, or a related field. Expertise in at least two of the following: multimodal perception & sensor fusion, neural representations, semantic scene understanding, SLAM/camera pose More ❯

Applied Machine Learning team and deliver new experiences and valuable insights to our coaches, athletes and fans across Hudl. You'll drive game-changing initiatives that use cutting-edge computer vision and deep learning at scale to shape the future of sports, from professional teams to local high schools. As a Senior Applied Researcher, your key responsibilities will … t any current requirements for the number of days you come to the office. Must-Haves Technical expertise . You have extensive experience in several of the following areas: computer vision (classical and deep learning), multi-view geometry, multi-object tracking, event detection and/or anomaly detection. System experience . You've built, maintained and monitored complex … specific number or range. If you heard about this role from a current Hudl employee, please indicate their name. Do you have experience in several of the following areas: computer vision (classical and deep learning), multi-view geometry, multi-object tracking, event detection and/or anomaly detection? Select Have you built, maintained and monitored complex AI/ More ❯

GmbH Amazon is looking for talented Postdoctoral Scientists to join our Robotics team for a one-year, full-time research position. Postdoctoral Scientists will innovate in key areas of computer vision and manipulation challenges in Amazon warehouses. The Amazon Robotics team seeks to automate the picking activities in Amazon AR Sortable FCs by retrofitting into existing stations. The … robotic manipulators, both the related hardware and software (including machine learning approaches). The team was formed in 2022 and is based in Berlin. Our team focuses on solving computer vision and manipulation challenges in Amazon warehouses. For example, how can robots interact with the fabric pods used to store items. The technical challenges include 3D scene understand … invent cutting-edge techniques in your area(s) of expertise. BASIC QUALIFICATIONS PhD in a relevant field, received within 2 years of starting the program Proven publication record in computer vision, robotics or other related technical fields # Experience in item perception and manipulation Proficiency in technologies relevant to the subfield PREFERRED QUALIFICATIONS • Ability to independently deliver results More ❯

Senior Data Scientist will lead this drive to build our AI capabilities and translate this into products we can commercialise. Key responsibilities include: Contributing to the long-term product vision Build a technology roadmap for AI that allows us to deliver this vision Building computer vision algorithms for tasks such as object detection, image segmentation, and … and Tensorflow Two years of experience in object detection models, including but not limited to YOLO, Faster R-CNN, and VIT Experience in training, fine-tuning, quantisation, and deploying computer vision models in production Apply data augmentation, transfer learning, and hyperparameter tuning to optimise model performance on complex datasets Expertise in implementing hybrid search and retrieval-augmented generation … prompt engineering and fine-tuning. Deployment and Cloud-based services - AWS, GCP, Docker, Linux Experience deploying ML models to edge devices with necessary optimisations Additional requirements: Advanced degree in Computer Science, Statistics, Data Science or equivalent Experience building and commercialising ML models Knowledge of the ML workflow, spanning from annotation, model training, model serving, scoring, pre/post processing More ❯

a Machine Learning Scientist to join our SymphonyAI Retail team in London. As a Machine Learning Scientist at SymphonAI - Retail, you will join our team developing shelf intelligence-a computer vision-powered system that helps major retailers understand real-time shelf conditions and drive in-store execution. This hands-on, applied research role is ideal for early-career … models continuously in production environments What You'll Bring Master's degree with 3+ years of experience or Ph.D. with 0-2 years of experience in machine learning or computer vision Strong foundation in deep learning architectures, including Experience with generative AI models such as diffusion models and vision-language models (VLMs) Proficient in Python and familiar … to ship ML models in production settings, including performance monitoring and failure analysis Excellent communication skills and proven ability to collaborate across cross-functional teams Bonus: Prior experience with computer vision tasks (e.g., object detection, OCR, image classification) or retail/merchandising data Working Hours: Ability to maintain at least a 50% overlap with US working hours (PST More ❯

and patent submissions Participate and assist the team in core R&D work with other teams within Sony Interactive Entertainment What we're looking for: PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post Strong … background in: TensorFlow or PyTorch; Python and packages/libraries related to computer vision or graphics; evidenced by the development of advanced applications in image/video/graphics processing or computer vision (minimum of 3 years of experience), Evidence of leading technical developments by at least 1 research publication in a top-tier conference like More ❯

Lead the integration of Large Language Models (LLMs) for natural language processing of intelligence data Develop robust APIs and microservices that handle real-time threat analysis at scale Implement computer vision systems for image and video analysis in OSINT investigations Build and optimize vector databases for semantic search across massive intelligence datasets Establish best practices for AI/… Terraform, CloudFormation) Expertise in building real-time streaming architectures Experience building production AI systems handling sensitive data Knowledge of AI safety, bias detection, and ethical AI practices Familiarity with computer vision and NLP techniques for OSINT Understanding of adversarial AI and security implications Proven track record of leading complex technical projects Ability to make architectural decisions that scale … Strong communication skills to explain complex AI concepts to non-technical stakeholders Experience mentoring engineers in AI/ML best practices Required and Preferred Education and Experience Degree in Computer Science, AI/ML, or equivalent experience 8+ years of software engineering experience with 3+ years focused on AI/ML systems Proven experience shipping production AI systems at More ❯

dynamic scheduling. The Senior Data Scientist will spearhead this effort — building advanced AI capabilities and transforming them into scalable, commercial products. Key Responsibilities Contribute to the long-term product vision and strategic direction. Develop an AI technology roadmap aligned with business goals. Build and deploy computer vision models (e.g., object detection, image segmentation). Collaborate with data … and TensorFlow . 2+ years of experience in object detection models, including YOLO , Faster R-CNN , and ViT . Proven track record of training, fine-tuning, quantising, and deploying computer vision models in production. Expertise in data augmentation , transfer learning , and hyperparameter tuning for complex datasets. Strong understanding of hybrid search and retrieval-augmented generation (RAG) techniques. Solid … applying prompt engineering and fine-tuning . Experience deploying models via cloud platforms (AWS, GCP) and using Docker , Linux , and edge device optimisation . Additional Requirements Advanced degree in Computer Science , Statistics , Data Science , or a related field. Proven experience building and commercialising machine learning models. Deep knowledge of the ML lifecycle: data annotation, model training, serving, scoring, productionisation More ❯

chance to work across the full product lifecycle and contribute to meaningful, ethical innovation. What You’ll Be Doing Designing, developing, and deploying high-performing machine learning models for computer vision tasks (image classification, object detection, segmentation, video analysis). Conducting data analysis, feature engineering, and model optimisation to ensure top-tier performance. Collaborating with cross-functional teams … business needs into technical solutions. Building and maintaining scalable ML pipelines using AWS (SageMaker, EC2, S3, Lambda, Rekognition). Staying up to date with the latest in ML and computer vision research and applying new techniques to real-world challenges. Contributing to the development of ML infrastructure and best practices. Mentoring junior team members and fostering a culture … of innovation and continuous learning. What We’re Looking For Master’s or PhD in Computer Science, Engineering, or a related field with a strong ML focus. Solid understanding of deep learning architectures (CNNs, RNNs, Transformers). Proficiency in Python and ML libraries like TensorFlow, PyTorch, and scikit-learn. Strong experience with AWS services and cloud-native development. A More ❯

understanding (text and visual), supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, product similarity, using GenAI, LLMs, NLP and Computer Vision. Key job responsibilities As an Applied Science Manager, you will be responsible to design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact … research work where opportunities arise. You will impact the large product strategy, identifies new business opportunities and provides strategic direction to the team. BASIC QUALIFICATIONS - Master's degree in Computer Science, Statistics, Electrical Engineering, or Mathematics with specialization in specialization in Machine Learning, statistical modeling, or Deep learning. 5+ years of working experience in solving machine learning problems and … and verbal communication skills PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need More ❯

drive productivity and support Proximies continuing evolution into the unrivalled champion of the intelligent operating room. The first machine learning engineer position will work with multi-modal data (audio, vision, and language) to curate, consolidate, and augment retrospective and prospective datasets that fuel the development of advanced machine learning solutions. Youll harness the power of Proximies deep data lakes … and performance evaluation while integrating with Proximies data lakes. Document solutions and contribute to internal knowledge sharing and capability building. Requirements PhD in a machine learning field such as computer science, data science, engineering, or a related field. Masters considered but PhD preferred. Minimum of 4 years hands-on experience in industry, developing and deploying AI solutions which solve … Kingdom 2 weeks ago London, England, United Kingdom 4 days ago London, England, United Kingdom 2 months ago London, England, United Kingdom 2 weeks ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 months ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks More ❯

enabling environmental understanding. Your work will directly impact the core functionalities of our autonomous systems. Key areas of impact include: Technical Strategy & System Architecture: Define and drive the technical vision, architecture, and scaling roadmap for perception systems, ensuring they meet autonomous driving demands and champion new technologies Perception Model Lifecycle Management: Lead the end-to-end development of scalable … Partner effectively with teams across the autonomy stack (e.g., prediction, planning, simulation, hardware, ML infrastructure) to deliver seamlessly integrated and high-performing autonomous features Qualifications MS or PhD in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field Experience (typically 8+ years post-graduation) in machine learning, computer vision, or robotics, with significant work in … Experience (typically 3+ years) in a technical leadership or management role, leading engineering teams on complex projects Technical depth in machine learning, deep learning architectures (e.g., CNNs, Transformers), and computer vision algorithms Experience developing and deploying perception algorithms (e.g., object detection, segmentation, tracking, SLAM, multi-sensor fusion) in real-world applications Proficiency in Python and C++ Experience with More ❯

and machine learning are critical to this role as well as exposure to the data lifecycle. The role will include: Building, integrating, testing and scaling models including NLP and Computer Vision Take ownership of developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance Development of neural networks Implementing and maintaining MLops … software engineering principles Desirable: UK DV Clearance or the ability to obtain it A degree or similar in a STEM, Data, AI or a Programming related subject (such as Computer Science, Physics, Mathematics, Artificial Intelligence) is preferable Proven track record of successfully completing AI projects that deliver tangible business results Experienced writing production level code Experience developing neural networks … into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in other languages This is not an exhaustive list, and we are keen to hear from you even if you don More ❯

building real, production-grade AI systems that deliver measurable value-whether that's automating property management workflows, creating decision-support tools for our teams, or embedding natural language and vision capabilities into our products. You'll collaborate closely with product managers, data scientists, and other engineers, taking AI solutions from concept to scalable production deployment. You'll have the … complex property management workflows. Work with cross-functional teams to gather requirements, define AI use cases, and iterate quickly on prototypes. Integrate complementary AI capabilities-such as voice processing, computer vision, and NLP-into customer-facing and internal tools. Collaborate with MLOps and platform engineers to ensure models are deployed, monitored, and iterated in production environments. Maintain clear … retrieval pipelines for RAG architectures. Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps tooling (MLflow, Kubeflow, or similar). Familiarity with voice-to-text, IVR, and/or computer vision systems is a plus. Strong understanding of software engineering best practices-testing, CI/CD, version control, code reviews. Excellent problem-solving skills and ability to collaborate More ❯

ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision) using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date … your workflows are reproducible and well-documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on More ❯

Google Cloud. • Experience in multiple industries is advantageous (e.g., healthcare, finance, retail). Skills: AI/ML Expertise: Strong understanding of machine learning algorithms, deep learning, natural language processing, computer vision, and data-driven problem-solving techniques. Architecture Skills: Proven ability to design and architect scalable, reliable, and high-performance Al solutions. Leadership and Communication: Excellent leadership skills … milestones, risks, and opportunities. 4. Research and Development: Emerging Technologies: Stay updated on the latest developments in Al technologies, including deep learning, reinforcement learning, natural language processing (NLP), and computer vision, and evaluate their potential impact on business processes. Proof of Concept (POC): Lead the development of PoCs and pilot projects to test Al ideas and validate their More ❯

with AI community and keep in touch with the latest developments in AI. Candidate Profile Essential Skills Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python software development skills (nice to have C other languages). Familiar … training of large-scale ML models, building production systems with large language models, efficient computing based on low-precision arithmetic, deep learning models including large generative models for language, vision and other modalities}. Experience writing C Triton/CUDA kernels for performance optimisation of ML models. Have contributed to open-source projects or published research papers in relevant … Engineer for Game Technology London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 months ago London, England, United Kingdom 1 week ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 months ago Data Scientist (Applied Machine Learning) London, England, United Kingdom 1 month ago London More ❯

sensitivity, specificity, ROC-AUC, and precision-recall Contribute to technical documentation and regulatory submissions for medical-grade software Requirements/Qualifications: MS or PhD in Machine Learning, Biomedical Engineering, Computer Science, or a related field 35+ years of experience applying machine learning to time-series or physiological data Strong foundation in signal processing and time-series modeling (e.g., deep … Kingdom 19 hours ago London, England, United Kingdom 2 months ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 months ago London, England, United Kingdom 1 week ago London, England, United Kingdom 2 weeks … Kingdom 3 months ago London, England, United Kingdom 4 days ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of More ❯

to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI. If that excites you, we'd love to chat. We're … looking for an AI/ML Engineer to help us make this vision a reality. Competitive candidates are outstanding engineers with a track record in developing SOTA deep learning models for solving challenging real world scientific problems and production grade AI-powered software solutions. Our team focuses on the discovery of preclinical digital biomarkers that translate robustly to clinical … humane use of animals in scientific research. In this role you will Convert vaguely described biological/drug discovery challenges into well-defined machine learning problems, particularly in the computer vision domain (both images and video). Execute and deliver full AI/ML driven solution from sourcing training data, design and implementing SOTA machine learning models, testing More ❯

in the BioTech space - specifically around drug discovery and RNA sequencing ROLE AND RESPONSIBILITIES Working closely within a small team, to design and build models across LLMs, NLP and Computer Vision Working alongside technical and non-technical stakeholders, creating insights and reports on key findings Driving the latest innovative research in AI, building and deploying core projects onto … their AI driven platforms SKILLS AND EXPERIENCE MSc or PhD in STEM/AI related subject Proficiency in Python, SQL and DevOps & CI/CD Experience in Computer Vision/LLMs/NLP is required Background in HealthTech, BioTech, PharmaTech is a large benefit but otherwise any tech company working on the projects above Excellent communication skills with More ❯

in the BioTech space - specifically around drug discovery and RNA sequencing ROLE AND RESPONSIBILITIES Working closely within a small team, to design and build models across LLMs, NLP and Computer Vision Working alongside technical and non-technical stakeholders, creating insights and reports on key findings Driving the latest innovative research in AI, building and deploying core projects onto … their AI driven platforms SKILLS AND EXPERIENCE MSc or PhD in STEM/AI related subject Proficiency in Python, SQL and DevOps & CI/CD Experience in Computer Vision/LLMs/NLP is required Background in HealthTech, BioTech, PharmaTech is a large benefit but otherwise any tech company working on the projects above Excellent communication skills with More ❯

In this role, you'll lead the Scene Understanding Team's computer vision research and development. This entails everything from designing systems capable of calibrating hundreds of cameras to implementing state-of-the-art 3D reconstruction methods and semantic segmentation. Responsibilities Lead the development of scene understanding systems responsible for calibrating spaces that contain hundreds of cameras. Translate … team environment. Stay current with emerging AI trends and technologies to assess their potential applications in current and future projects. Required Qualifications Bachelor's or master's degree in computer science or a related field 6+ years of experience as a Software Engineer Extensive experience in Python Proven experience working with RESTful APIs and OpenAPI, gRPC, and Protobuf, with … knowledge of their design best practices and common libraries Proven experience interfacing with AI projects, with a focus on computer vision and geometry Proven experience in production. Excellent leadership, communication, and management skills Additional Qualifications (desired) Experience with asynchronous processes and event-driven architectures Experience with containerized applications, Kubernetes and Docker Experience with Azure Experience with multi-view More ❯