1 to 25 of 51 Permanent Computer Vision Jobs in London

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 ...

Machine Learning Specialist (Computer Vision) Profile: Safe Intelligence is on a mission to make AI safe and reliable for anyone to use. To help us succeed, our team is looking for Machine Learning Specialists, and we’re hoping it’s you! In this role, you’ll play … validation challenges and in helping drive our product forward with insights on how to build the best validation solutions for high-stakes machine vision problems. The specific focus of this position is on ML-based computer vision in high-stakes applications in Aviation, Mobility, Robotics and Edge ...

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 ...

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 ...

About the Company You will own the machine learning and computer vision components of the YEO CFR SDK. This means the facial recognition model, the three-layer passive liveness detection system (software depth analysis, pixelation detection, rPPG), anti-spoofing performance, and injection attack countermeasures. You will work alongside … training), TFLite (expert — Android/iOS inference), CoreML (strong — iOS Neural Engine), ONNX (strong — cross-platform interop), MediaPipe (competent — Android face landmarker integration). Computer Vision & Signal Processing: OpenCV (expert), NumPy/SciPy (expert — rPPG signal processing), dlib (competent), rPPG methods specifically (POS, CHROM, chrominance decomposition, bandpass filtering ...

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 ...

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 ...

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 … 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 ...

Title: Enterprise Account Executive Location: London We are partnered with a $120M Series B AI & Computer Vision platform transforming a legacy global industry. Tracking to grow from 0 to $20M ARR in just 24 months , we are now looking for world-class AEs to join the team … genuinely greenfield. Hyper-growth metrics: 1,400+ vessels already live on the platform in under two years. Strong product-market fit driven by Computer Vision + LLM technology. Working with major global enterprises including MSC, Seaspan, Maran Tankers, NYK and more. Be part of a GTM team scaling ...

understanding of all primary Tungsten Automation solutions and offerings AI and ML Capabilities : Leverage AI and machine learning capabilities, including natural language processing (NLP), computer vision, and LLMs, to optimize document processing, data extraction, and decision-making workflows Programming and Development : Apply relevant programming skills (e.g., Python, Java … enterprise security practices (IAM, data encryption, SOC2, GDPR, HIPAA) when integrating AI into regulated industries What You Bring Educational Foundation Bachelor's degree in Computer Science, Information Systems, or a related technical field required Advanced degree preferred Relevant AI/ML certifications are a plus Professional Experience 10+ years ...

/LLM-powered features using frameworks such as LangChain Implement and manage payment systems, including Stripe integrations and subscription flows Build image processing and computer vision pipelines Write clean, maintainable, and well-documented code deployed via Docker and CI/CD pipelines Collaborate using GitHub, maintaining high code … Proven experience with FastAPI and/or Django, REST APIs, and PostgreSQL Experience integrating Stripe for payments and subscriptions Familiarity with image processing and computer vision Experience with Docker, GitHub, and modern deployment workflows Knowledge of cloud platforms (AWS, GCP, or Azure) Strong understanding of software design principles ...

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 LLM Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have … ecosystem. You will work on cutting-edge projects that merge the power of Large Language Models (LLMs) with our state-of-the-art computer vision technologies. Key responsibilities include: Developing and scaling robust LLM-powered applications using a variety of APIs, including OpenAI, Anthropic, and Gemini. Implementing ...

team (reading groups, etc.) Learn best machine learning practices from a team of senior applied scientists Essential Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with at least one deep learning framework (pytorch or tensorflow) A strong willingness to learn Highly ...

data during live events. What You’ll Be Working On Leading development of ML systems for live sports insights + personalisation Building solutions across Computer Vision, ML, and Generative AI Turning live video + sports data into real-time predictions and insights Designing low-latency, high-scale … Ideal Profiles Principal/Staff ML Engineers in streaming, sports, or media ML Engineers from real-time/low-latency environments Engineers working on computer vision, personalisation, or live data systems (This isn’t a research role — it’s production, scale, and real-world impact) No need ...

teams, this essential step is both the most costly, and the most time‐consuming, in getting their product to market. As ex-computer scientists, physicists, and quants, we felt first‐hand how the lack of tools to prepare quality training data was impeding the progress of building AI. … generation of applications. This is why we started Encord. We are a talented and ambitious team of 100+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former ...

quarterly targets and long-term growth objectives. Leverage Technical Expertise in Edge AI Effectively communicate the business and technical value of Edge AI and computer vision solutions to technical stakeholders and C-level executives. Act as a trusted advisor and thought leader within the UK industrial technology ecosystem. … innovation ecosystem. Maintain deep insight into local market dynamics, trends, and opportunities. Qualifications: Bachelor’s or Master’s degree in a technical field (e.g., Computer Science, Electrical Engineering, or related discipline). 10+ years of enterprise sales or business development experience in high-tech industries, ideally with a focus ...

models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing … computer vision , or reinforcement learning projects. Experience working in Agile/Scrum environments. Contract Details Location: Hybrid – London (onsite 2–3 days per week) Type: Day-rate contract (Outside/Inside IR35 subject to assessment) Duration: 6–12 months (extension likely) Start Date: Immediate or within ...

Python Experience with ML/AI systems, including at least one of: Agentic AI systems and architectures Retrieval-Augmented Generation (RAG, Graph RAG) Computer Vision/Vision Language Models Audio processing Hands-on experience with Docker, Linux/Unix, Git, and testing frameworks Experience working with ...

latest research and advancements in diffusion models, adversarial networks and post-training optimization methods. What we're looking for: You have a background in Computer Vision/Computer Science and 3+ years of industry experience. You have knowledge of recent advancements in post-training techniques. (for instance ...

developing, and deploying advanced AI and machine-learning solutions for enterprise-level clients. The ideal candidate will have a strong foundation in mathematics or computer science and a proven track record of delivering innovative AI capabilities across diverse industries. This role requires both strategic and hands-on technical expertise … Pinecone . Proven hands‐on experience deploying models in production and building scalable AI software. Deep understanding of advanced modelling methods: deep learning, GNNs, computer vision, sensor fusion, vector embeddings, RAG, generative AI . Experience designing AI/ML architectures and providing strategic technical guidance to enterprise clients. ...

management, and technical documentation required for regulated medical-device development. Communicate technical decisions, trade-offs, and risks clearly across teams. Required Experience: Degree in Computer Science, Machine Learning, Engineering, Mathematics, Physics, Robotics, or a related STEM field, or equivalent practical experience. Five or more years of proven experience building … within a Quality Management System. Demonstrated experience with Kubernetes and deploying solutions on any cloud provider, such as AWS, GCP, and Azure. Experience with computer vision, multimodal models, time-series or procedural clinical data. Experience designing and implementing ML pipelines in line with medical‐device regulatory expectations (e.g. ...

inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with ...

demonstration.Person Specification:To excel as a Principal Data Scientist, you will typically possess:· Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent.· Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering … experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions.· Solid understanding of foundational statistics and experimental design.· Familiarity with or experience on cloud platformsImpact and Achievements ...

cloud and SRE teams while leading the design and delivery of production architectures Required qualifications, capabilities, and skills PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics. Significant experience in an individual contributor role in ML engineering. Proven track record in building and leading teams of experienced … engineers/scientists. Solid understanding of the fundamentals of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms. Hands‐on experience in implementing distributed/multi‐threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.). Ability to understand ...

particularly in Python Experience with machine learning and AI, including LLMs or related technologies Knowledge of areas such as RAG architectures, agent-based AI, computer vision, or audio processing Experience working with cloud platforms (AWS or Azure preferred) Familiarity with Docker, Linux/Unix environments, Git, and testing ...