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. This full-time Solution Engineer position is based onsite in our brand-new Ultralytics office in London, UK.
As a Solution Engineer at Ultralytics, you will be the technical face of our organization. You will help bridge the gap between client needs and our powerful AI tooling, guiding them through every stage from ideation to deployment.
Delivering high-quality technical demos, onboarding sessions, proof-of-concepts, and technical workshops that illustrate how to build with YOLO and demonstrate the power of Ultralytics tooling.
Designing annotation strategies and model training pipelines tailored to the client’s data, goals, and deployment constraints.
Debugging client issues and delivering effective solutions with a strong understanding of the YOLO package, Python, OpenCV, and model behavior.
Contribute to technical blog posts, customer stories, and educational materials.




Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community.
5+ years of experience in Computer Vision, Machine Learning, or applied AI roles.
~ Proficiency in Python and familiarity with the YOLO ecosystem.
~ Hands-on experience with OpenCV, PyTorch, and classical ML/CV concepts.
~ Strong understanding of end-to-end model lifecycles, including data collection, preparation, training, evaluation, and deployment.
~ Experience with Docker and comfort working across Linux, macOS, and Windows environments.
~ Comfort leading workshops, writing technical guides, or presenting to developer audiences.

Cultural Fit - Intensity Required
Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remo

📌 Solutions Engineer (España)
🏢 Ultralytics
📍 España