11 of 11 Computer Vision Jobs in the City of London

individuals obsessed with AI, eager to 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 the entire lifecycle of our models, from research to real-world deployment. Key responsibilities … include: Developing, training, and optimizing state-of-the-art computer vision models, with a primary focus on the Ultralytics YOLO ecosystem. Implementing advanced data augmentation and preprocessing techniques to improve model robustness on diverse datasets. Leading the full lifecycle of model development, from research and training to validation and performance benchmarking. Mastering model export to various formats such More ❯

I am searching for a Lead Computer Vision Engineer to join a high-growth startup revolutionizing sports analytics using AI. They're backed by serious investor support and building transformative tech that’s changing how elite-level performance is understood and optimized. You’d lead the charge on computer vision systems—from R&D to production … time processing, and building 0–1 systems with impact, this is worth a look. 📍 Location: Remote (with quarterly London meetups) 💼 Mission: Redefining how performance is measured using cutting-edge vision systems 💡 Why join? Lead innovative projects at the intersection of AI + video + sport science Fully backed startup with funding and traction Remote-first culture with real autonomy … and ownership 🚀 Your Role: Build and optimize vision models (object tracking, pose estimation, segmentation) Take prototypes to production with PyTorch, TensorFlow, Docker Drive product development and mentor other engineers Collaborate across product, data, and engineering for real-world deployment Apply now 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 ❯

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 ❯

individuals obsessed with AI, eager to 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 Machine Learning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to … entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include: Developing, training, and validating state-of-the-art models for a variety of computer vision tasks, including detection, segmentation, and classification. Writing highly efficient, scalable, and production-ready code in Python using the PyTorch framework. Optimizing models for high-performance inference on … years of professional experience in Machine Learning Engineering or a similar role. Deep expertise in Python and deep learning frameworks, with a strong preference for PyTorch. Proven experience with computer vision and a strong understanding of model architectures like transformers and CNNs. Hands-on experience with model optimization (i.e. quantization, pruning) and model deployment frameworks such as TensorRT More ❯

seeking a Lead Data Scientist to develop and deploy end-to-end AI solutions. You'll work on machine learning models for retention, price optimisation, recommendation engines, NLP, and Computer Vision. Responsibilities: Design, develop, and productionize machine learning models across various applications. Work with Python (ideally production-level code) and other tools like SQL, Spark, and Databricks. Apply clustering … Azure, GCP). Ensure explainability, bias detection, and algorithmic fairness in models. Collaborate with stakeholders to translate business challenges into data-driven solutions. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP, Computer Vision, MLOps Knowledge of AWS/Azure/GCP, CI/CD, and Agile development Ability to own solutions and manage stakeholders How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. More ❯

Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large-scale data processing and database technologies such as MongoDB or … environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance More ❯

initiatives and training efforts. Skills & Experience: Proven experience in applying AI or data science within the media, publishing, or digital content industry. Solid understanding of AI tools (e.g., NLP, computer vision, recommendation engines, generative AI) and their practical applications. Experience designing and delivering training or upskilling programs to diverse professional audiences. Strong analytical, problem-solving, and communication skills. … Comfortable working in a fast-paced, cross-functional environment. Awareness of data privacy, copyright, and ethical considerations in AI adoption. Degree in Computer Science, Data Science, Media Technology, or a related field. Hands-on experience with AI platforms and tools (e.g., OpenAI, Adobe Firefly, Synthesia, RunwayML, Jasper, ChatGPT, etc.). Background in media production, journalism, or digital marketing is More ❯

that is clear, concise, and effective. Key responsibilities include: Writing and maintaining comprehensive documentation for our open-source software, including our state-of-the-art YOLO11 model and other vision AI solutions. Creating engaging tutorials, how-to guides, and best-practice articles covering topics from model training and hyperparameter tuning to deployment on various platforms. Documenting our Python API … and discoverability of our documentation and blog content. Developing and maintaining a consistent style and voice across all technical content, ensuring it aligns with the Ultralytics brand. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models to the community. 🛠️ Skills and Experience 5+ years of experience … with static site generators like MkDocs or Sphinx. Basic proficiency in Python to understand and document code examples and APIs. A strong interest in or experience with machine learning, computer vision, and object detection models like YOLO. Experience documenting APIs, SDKs, and other developer tools. Knowledge of SEO principles and how to apply them to technical documentation to More ❯

to continuously improve engagement and conversion rates. Collaborating closely with our engineering and content teams to create a cohesive narrative around our products and open-source projects. Your strategic vision and analytical prowess will be essential in supporting Ultralytics' mission to make advanced AI accessible to everyone. 🛠️ Skills and Experience 5+ years of hands-on experience in email marketing … workflows. Deep understanding of email marketing metrics, A/B testing methodologies, and data-driven optimization. Exceptional writing and editing skills, with a talent for making complex topics like computer vision and machine learning accessible and exciting. A genuine interest in artificial intelligence and a desire to learn about our models, such as YOLOv8 and YOLO11. Excellent problem … environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance More ❯

re Looking For Proven leadership and strong hands on experience Proven track record of deploying ML into production environments Depth in at least one of: generative AI, geospatial ML, computer vision, or forecasting Experience working with climate data (or similar) Excellent communication skills and cross-functional collaboration ability Experiene working in start ups/scale ups. Bonus Points More ❯