Ultralytics

Technology

SolutionsEngineer

£85–120k ~AI est. London, United Kingdom FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

Technology
Problems you'll solve

Debugging; Troubleshooting

Eligibility Requirements

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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