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Jobs(26,685)/Solutions Engineer Role(320)/ultralytics (4) - Solutions Engineer
ultralytics

ultralytics - Solutions Engineer

London1w ago
In OfficeEMEACloud ComputingArtificial IntelligenceSolutions EngineerRESTLinuxPythonGitDockerONNXKubernetesCUDAMLOpsCustomer EngagementDocumentationData QualityGitHubAWSGCPAzureCustomer Success

Requirements

• Strong Python and practical experience with YOLO, OpenCV, PyTorch, and computer vision. • Experience training, optimizing, evaluating, and deploying machine learning models. • Comfortable with Docker, Git, REST APIs, Linux, cloud platforms, and edge workflows. • Experience deploying across Linux, macOS, and Windows environments. • Proven ability to deliver technical demos, workshops, architecture reviews, and POCs. • Strong communication skills with both technical and executive audiences. • Independent ownership, urgency, resilience, and results in a high-performance startup environment. • Passion for AI, open source, and helping customers achieve real outcomes. • Kubernetes, CUDA, TensorRT, ONNX, Jetson, or other edge accelerators. • Experience with MLOps, model monitoring, CI/CD, or observability. • Familiarity with AWS, Azure, GCP, serverless systems, or managed inference platforms. • Experience integrating OpenAI or Anthropic APIs into customer tools. • Open-source contributions or experience supporting developer communities. • Knowledge of Ultralytics YOLO workflows https://docs.ultralytics.com/modes/ and production computer vision solutions.

Responsibilities

• Technical discovery and solution design • Own technical discovery, translate customer needs into architectures, and define measurable success criteria. • Evaluate customer data, recommend models, and design training, inference, and deployment strategies. • Lead technical qualification and solution design alongside Account Executives and Customer Success Managers. • Prototyping and deployment • Build Python prototypes with YOLO, OpenCV, PyTorch, and Docker. • Create benchmarks, integrations, and production-ready training and deployment workflows. • Deploy solutions across Linux, macOS, Windows, cloud, and edge environments. • Diagnose performance, data quality, inference, and hardware acceleration challenges. • Use the Ultralytics documentation https://docs.ultralytics.com/ and YOLO guides https://docs.ultralytics.com/guides/ to deliver reliable customer outcomes. • Customer engagement and enablement • Deliver technical demos, workshops, architecture reviews, and proof-of-concepts that move opportunities forward. • Explain machine learning clearly to engineers, operators, executives, and other non-technical audiences. • Build trusted relationships and manage technical stakeholders from evaluation through production. • Ecosystem contribution • Turn customer solutions into reusable examples, deployment guides, integrations, and documentation. • Share feedback with Product and Engineering to improve the YOLO ecosystem. • Engage developers through the Ultralytics community https://community.ultralytics.com/ and GitHub organization https://github.com/ultralytics. • 📈 What success looks like • 3 months: Ramped on the YOLO stack and customers, co-running discovery, and delivering your first demos and project kickoffs. • 6 months: Owning technical discovery and POCs end to end, unblocking live deals or at-risk accounts, and earning trust from the AEs and CSMs you support. • 9 months: Converting technical evaluations into wins or saves, shipping reusable assets, and providing actionable feedback to the wider organization. • 12 months: Becoming the technical partner AEs and CSMs want on their biggest accounts, with POCs that convert and referenceable customer deployments.

Benefits

• Real impact: Your solutions will power vision AI in production across systems used by millions of devices. • Demand you don't have to manufacture: YOLO is the world's most popular computer vision model, and customers already come to us looking to do more with it. • Build at the source: Work directly on top of the YOLO ecosystem with clear lines to Product and Engineering. • A team that ships: Join a fast-moving, high-standard team that values results over routine. • Customer ownership: Stay involved beyond the demo and see your technical work reach production. • 🚫 What this isn't • This isn't a slideware Solutions Engineer role. You won't hand off after the demo or hide behind a deck — you'll build the solution, get it deployed, and own the technical outcome throughout the client lifecycle. • 🌟 Cultural fit • At Ultralytics, we set bold goals and execute with speed, precision, and teamwork. We're driven by hard work, ambition, and resilience — building fast, learning constantly, and delivering measurable impact. • You'll thrive here if you: • Take ownership and deliver results with focus and accountability. • Combine strategic thinking with hands-on execution. • Value excellence, grit, and creativity in equal measure. • See collaboration as the foundation for meaningful progress. • We reward excellence and impact — not just tenure or title. • Competitive compensation: Competitive compensation packages • On-site collaboration: Work with passionate builders in one of our global hubs (London). • Flexible working hours: We value results over routines. • Generous time off: 24 vacation days, your birthday off, plus local holidays. • Tech & tools: Work on cutting-edge AI projects that power millions of devices. • Gear: Brand-new Apple MacBook Air/Pro, Apple Studio Display, and AirPods Pro 3. • Learning & development: Dedicated budget for personal and professional growth. • High impact: Your work will shape the future of vision AI. • 👉 Check out Ultralytics careers https://www.ultralytics.com/careers and our office locations to learn more about our culture, values, and teams. • 🌎 Where and how you can work • We believe great work happens where passion meets purpose. • This is a full-time, on-site role based in London, UK. • Applicants must have legal authorization to work in the country of application. • You will report to the Head of Customer Success and Implementation. • Cutting-Edge, Next-Generation AI Computer Vision Technology: Contribute to building cutting-edge computer vision AI models based on the YOLO framework. • Impactful Work: Shape the future of AI-powered solutions that transform industries. • Collaborative Culture: Join a talented and passionate team that values open communication and innovation. • Ultralytics Handbook • Comprehensive guide to our company's mission, vision, values, and operational practices. This handbook is designed to provide key insights and resources for our (future) team members, collaborators, and community to align with Ultralytics' core principles. • Link: https://handbook.ultralytics.com/

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