1 to 25 of 31 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 ...

Computer Vision ML EngineerFully Remote6 Month ContractOutside IR35£550 to £600 per day The Company They are a global technology organisation with a dedicated research function focused on applied AI and graphics. The team operates at the intersection of machine learning, computer vision, and low-level … research depth with practical delivery, aiming to push image and video quality beyond current standards. The Role and Deliverables Develop and experiment with advanced computer vision and machine learning techniques for image and video enhancement. Apply Generative AI approaches such as diffusion models and GANs ...

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 ...

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 ...

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 ...

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 ...

design, or HCI work – coursework, a side project, or self‐directed study. Send us one example in your application. Useful Coursework or projects in computer vision, ML, or signal processing. Front‐end (TypeScript/React) – useful for our internal debug tools and visualisations. Prototyping tools (Figma, Origami, ProtoPie ...

/or Snowflake platforms Contribute to proposals and technical assessments for new opportunities and internal knowledge transfer Essential Qualifications Degree or equivalent certification in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field Proven experience building and implementing LLM‐based solutions (GPT, Claude, Llama, Mistral, or similar … Hands‐on experience with at least one of: Databricks (MLflow, AutoML), Azure Machine Learning, or Snowflake (Snowpark ML, Cortex) Understanding of natural language processing, computer vision, and recommender systems Strong programming skills in Python, SQL and proficiency with ML libraries (scikit‐learn, pandas, NumPy, XGBoost, LightGBM) Strong analytical ...

with customer and stakeholder engagement and deliver technical solutions on internal and external projects.**Skills and Experience****Requirements*** *BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.** *Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.** *Excellent coding practice using Python … leading teams following agile principles.** *Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature.** *Experience of training and developing AI models including Large Language Models.** *Ability ...

goals. Champion Excellence: Lead efforts to continuously enhance code quality, reliability, and development processes, driving innovation through automation, testing, and best practices. Guide the Vision: Play a key role in managing the technical roadmap, where you'll balance immediate deliverables with strategic growth and cutting‐edge technology. Stay … Forefront: Work with the latest frontier models including GPT‐5 and Claude 3.5 across text and vision, incorporating them into our platform and constantly pushing the boundaries of what’s possible. Drive Real Impact: Ensure the scalability of our domain specific AI product, Orbital Copilot, contributing to solutions that ...

that have a positive impact. You’re an experienced product leader with a background in security, identity (IAM), or enterprise SaaS. You combine strategic vision with operational rigour, and you’re motivated by delivering usable, secure, and elegant solutions to complex technical problems. Proven experience in a senior MLOps … hands-on technical work Strong communication skills and the ability to work effectively across engineering, product and data teams Nice-to-haves Experience supporting computer vision, deep learning, LLM or other compute-intensive ML workloads Experience with GPU infrastructure, distributed training or high-performance compute environments Familiarity 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 ...

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 ...

cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph databases and query languages Experience with deep learning frameworks Background in NLP, computer vision, or reinforcement learning Domain expertise across industries but familiar with Financial Services, Healthcare and Lifesciences, Industrials and Telecommunications and infrastructure would ...

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 ...

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 ...

Docker, Linux/Unix CLI, Git, and testing Understanding of modern AI approaches, including: Agentic AI systems RAG (Retrieval Augmented Generation) Graph-based approaches Computer vision, audio, or multimodal models Knowledge of data governance and security best practices Strong communication and problem-solving capability Ability to work effectively ...

scalable and efficient Digital Workforce. In Sprint Reply we combine anexecution orientedengineering approach with strong experiences on 4 technology families, Robotic Process Automation, Computer Vision & ICR, AI & Machine Learning and Process Mining, dedicating constant attention to R&D on various Artificial Intelligence issues. www.sprint.reply.com Role Overview … technical authority and strategic link between clients, delivery teams, and leadership. This hybrid role blends principal-level technical expertise with the broad vision of a solution architect, guiding engagements from initial discovery through to successful delivery. You will define architectural standards, establish reference patterns, and create reusable frameworks ...

join our Perception and Navigation team based in London. In this role you will lead the design, development, and optimization of cutting-edge computer vision and spatial understanding systems, including object detection, semantic segmentation, 3D scene reconstruction, and persistent geometric reasoning. What You'll Do Develop next-generation … spatial understanding systems for robot locomotion and manipulation, integrating perception and high-level reasoning. Work on open-ended navigation powered by Vision-Language-Action (VLA) models — enabling robots to understand context, predict intent, and act in complex, dynamic environments. Design and scale auto-labeling and large-scale data pipelines ...

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. The Multinational Digital Infrastructure team is responsible for designing, deploying ...

looking for a Senior ML Engineer to join the Perception and Navigation team in London. The role involves designing and optimizing systems for computer vision and spatial understanding in robots. Candidates should have deep experience in machine learning, particularly with large models, and be proficient in PyTorch. ...

timeframes and board-level expectations. Key Objectives (First 3-6 Months) 1) Establish the Data & AI operating model Create a clear enterprise data vision and operating model (central vs federated), including ownership, stewardship, governance forums, and delivery cadence. Define the “single source of truth” for critical domains (e.g., product … levels, inventory reduction, waste reduction) Yield/throughput optimisation (process parameters, bottleneck management) Predictive maintenance (downtime reduction, asset reliability) Quality & food safety analytics/computer vision (defect detection, compliance) Procurement & commodity insights (pricing, hedging signals, supplier risk) Commercial analytics (pricing, promo, mix optimisation, trade spend) Traceability & compliance enablement ...

Power Semiconductor Devices – including GaN and SiC Materials 5. Emerging & Priority Fields Biomedicine: Cell Therapy, Molecular Immunology, Biopharmaceuticals, Drug Development Artificial Intelligence: Machine Learning, Computer Vision, Intelligent Manufacturing Sustainability: Carbon Neutrality, Environmental Engineering, Green Resources 6. Key Responsibilities Conduct independent and/or collaborative scientific research Publish ...