Ultralytics
Technology
SolutionsEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Solutions Engineer at Ultralytics. Skills: Computer Vision, Machine Learning, AI, YOLO. Collaborate with clients. Understand use cases”
What You'll Achieve.
Drive tangible business outcomes
Industry & Context.
Debugging; Troubleshooting
Onsite in London
What They're Looking For.
Must Have
5+ years experience Computer Vision, 5+ years experience Machine Learning, 5+ years experience applied AI, Proficiency in Python, Familiarity with YOLO ecosystem, Hands-on experience OpenCV, Hands-on experience PyTorch, Understanding end-to-end model lifecycles, Experience with Docker, Comfort working across Linux, Comfort working across macOS, Comfort working across Windows, Demonstrated ability to teach, Demonstrated ability to mentor, Comfort leading workshops, Comfort writing technical guides, Comfort presenting to developer audiences
Nice to Have
Classical ML/CV concepts experience
What You'll Do.
Collaborate with clients
Understand challenges
Architect end-to-end solutions
Deliver technical demos
Deliver onboarding sessions
Deliver proof-of-concepts
Deliver technical workshops
Design annotation strategies
Design model training pipelines
Deliver effective solutions
Support pre-sales efforts
Participate in discovery calls
Serve as technical advisor
Ensure successful integration
Ensure continued satisfaction
Interface with Sales teams
Interface with Marketing teams
Interface with Engineering teams
Interface with Product teams
Advocate for customer needs
Influence roadmap priorities
Act as strategic advisor
Shape computer vision solutions
Drive business outcomes
Enable marketing teams
Provide technical expertise
Provide competitive insights
Provide field learnings
Support campaign effectiveness
Support messaging accuracy
Represent Ultralytics at conferences
Represent Ultralytics at webinars
Represent Ultralytics at events
Contribute to technical blog posts
Contribute to customer stories
Contribute to educational materials
How You'll Work.
Team & Collaboration
Cross-functional teams; Sales teams; Marketing teams; Engineering teams; Product teams
Communication Scope
Client communication; Technical communication; Presenting
Process & Methodology
Roadmap priorities
Full Job Description
About Ultralytics: At Ultralytics https://ultralytics.com/, we commit to relentless innovation in the AI space and seek team members https://www.ultralytics.com/about who resonate with our ambition to produce the world's best YOLO AI models https://ultralytics.com/yolo. 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. 🌎 Location and Legalities This full-time Solution Engineer position is based onsite in our brand-new Ultralytics office https://www.ultralytics.com/about in London, UK. 🚀 What You'll Do As a Solution Engineer at Ultralytics, you will be the technical face of our organization. You will work directly with clients to design, prototype, and deploy computer vision solutions powered by Ultralytics YOLO. You will help bridge the gap between client needs and our powerful AI tooling, guiding them through every stage from ideation to deployment. Key responsibilities include: - Collaborating with clients to understand their use cases and challenges, and architecting end-to-end solutions using the YOLO ecosystem. - 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. - Supporting pre-sales efforts by participating in technical discovery calls and helping shape proposals and SLAs. - Serving as a key technical advisor during customer engagements, ensuring successful integration and continued satisfaction. - Interfacing regularly with Sales, Marketing, Engineering, and Product teams to advocate for customer needs and influence roadmap prior
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