Applied Scientist - Computer Vision

models across image understanding, embeddings, object detection and emerging agentic AI systems.You'll work closely with the founders, product and engineering teams to shape the long-term AI and data strategy, making pragmatic technical decisions in a fast-moving startup environment. ️ This role is 90% hands-on engineering. It is not a pure management role or a research-only position. What You'll DoHands-on Computer Vision LeadershipDesign, build and deploy production computer vision and agentic AI systems powering search, recommendations and personalisationOwn the full data science lifecycle: problem framing * modelling * deployment * monitoring * iterationMake pragmatic trade-offs between speed, quality and technical eleganceProduct & User ImpactTranslate messy real-world user problems into testable ML solutionsPartner closely with Product to ensure models improve user trust, confidence and discoveryFocus on feature value, ROI and the signals that truly matterData FoundationsWork, Lead Data Scientist, Computer Vision London, UK (Hybrid) | Full-timeHelp reinvent how the world discovers fashion.We're building a new era in fashion discovery - one that ignites body confidence in everybody and every body. Imagine Shazam meets Spotify, but for..., A digital identity technology company in London is seeking a Senior Golang Developer to work closely with the R&D team. This role includes deploying machine learning models and developing network-facing software. The ideal candidate will have experience in Go, Python, and...

AI Consultant (Principal AI Engineer)

Mastercard

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure,...

Principal AI Software Engineer (Java, Scala)

iManage

Overview We offer a flexible working policy that supports a healthy balance between personal and professional wellbeing. This role requires in-office presence on Tuesdays & Thursdays to collaborate, connect, and learn from peers while maintaining flexibility for meaningful...

hands-on with imperfect datasetsDesign annotation strategies, data quality frameworks and evaluation pipelinesDecide where data investment matters mostTechnical Direction & MLOpsEstablish pragmatic MLOps practices (deployment, monitoring, iteration)Build scalable but lightweight ML pipelines in AWS alongside engineeringEnsure models are robust, reliable and safe for productionTeam & CultureSet the technical bar for data scienceMentor future data scientists as the team growsBring curiosity, humility and ownership to a high-ambiguity startup environment What We're Looking ForBachelor's or Master's in Computer Science, Mathematics or related fieldStrong computer vision expertise and experience fine-tuning state-of-the-art modelsDeep learning experience (e.G. PyTorch, CUDA, model optimisation for training and inference)Strong MLOps and engineering mindset (CI/CD, automated deployment, monitoring)Solid understanding of data engineering, data quality and annotation strategiesComfortable working in fast-paced startup environmentsA simplicity-first mindset - only introduce complexity when it's neededExcellent communication skills across technical and non-technical audiences Why Join?Build the core AI engine of a breakthrough fashion discovery platformWork directly with founders on product and technical strategyJoin a mission-driven, female-founded startup at a defining growth stageShape a product designed to make fashion discovery more inclusive, empowering and intelligent Interested?We'd love to hear from exceptional builders who want to shape the future of fashion discovery.Apply via LinkedIn or reach out directly. Similar jobs

Lead Data Scientist, Computer Vision London, UK (Hybrid) | Full-timeHelp reinvent how the world discovers fashion.We're building a new era in fashion discovery - one that ignites body confidence in everybody and every body. Imagine Shazam meets Spotify, but for fashion.Our community is tired of endless scrolling, paid ads and dead-end links. They want fashion that actually fits: in stock, in their size, and at the best price. We're creating a search experience that puts people at the centre of discovery.As a female-founded fashion-tech startup, we're at an exciting stage - shaping something genuinely game-changing. Now we're looking for an exceptional Lead Data Scientist (Computer Vision) to help build the intelligence at the heart of our platform. The RoleThis is a hands-on technical leadership role responsible for architecting and building the computer vision engine powering the platform's discovery experience.You'll design, implement and productionise state-of-the-art, A technology company in Bristol is seeking a Principal Architect to define and drive the architectural vision for their ML accelerator software stack. This role requires expertise in firmware, drivers, and ML frameworks, alongside excellent communication and collaborative..., About the Team : You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer..., Join us at Entrust At Entrust, we're shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving..., A leading technology company is seeking a Principal Data Scientist in Greater London to build and deploy scalable AI systems. The successful candidate will lead projects in computer vision, NLP, and predictive analytics while working collaboratively with customers...., Job Description Join us at Entrust At Entrust, we're shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep...