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Solutions Engineer

Ultralytics · London

Publicada em 18/09/2026

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About Ultralytics:At Ultralytics, we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to produce the world's best YOLO AI models. If you're obsessed with AI, eager to make an impact on the world, and thrive in dynamic, high-intensity environments, we invite you to apply for a position on our team.🌍 Join the team powering the future of vision AIHello, 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 areAt Ultralytics, we're on a mission to simplify AI for everyone. As the linkcreators 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. This is an opportunity to join a fast-scaling, high-performance team that's redefining the future of vision AI — where ambition meets impact, and ideas become reality.We move fast. We build boldly. We execute with purpose. And we do it together.💼 About the roleAs a Solutions Engineer, you'll turn complex computer vision problems into production systems built on YOLO. You'll lead technical discovery, design architectures, build benchmarks and proof-of-concepts, and guide customers from their first conversation to deployed models.You'll work across Sales, Customer Success, Product, and Engineering while partnering directly with customers in manufacturing, retail, security, robotics, and beyond. This is a hands-on role for an engineer who enjoys writing Python, training and optimizing models, deploying across cloud and edge, and owning outcomes throughout the customer lifecycle.If you thrive on ambiguous problems, direct customer contact, and turning technical possibilities into measurable results, you'll fit right in.🚀 What you'll doTechnical discovery and solution designOwn technical
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