Solutions Engineer

The role

You will turn complex computer vision problems into production systems built on YOLO. You will lead technical discovery, design architectures, build benchmarks and proof-of-concepts, and guide customers from their first conversation to deployed models.

What you will do

• Own technical discovery and translate customer needs into architectures.
• Evaluate customer data and recommend models and deployment strategies.
• Lead technical qualification and solution design with sales teams.
• Build Python prototypes with YOLO, OpenCV, PyTorch, and Docker.
• Create benchmarks, integrations, and production-ready workflows.
• Deploy solutions across Linux, macOS, Windows, cloud, and edge.
• Diagnose performance, data quality, and hardware acceleration challenges.
• Deliver technical demos, workshops, and architecture reviews.
• Explain machine learning to technical and non-technical audiences.
• Turn customer solutions into reusable examples and documentation.

Required qualifications

• 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.

Nice to have

• 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 and production computer vision solutions.

Benefits

• Competitive compensation packages
• On-site collaboration in London
• Flexible working hours
• 24 vacation days, your birthday off, plus local holidays
• Work on cutting-edge AI projects
• Brand-new Apple MacBook Air/Pro, Apple Studio Display, and AirPods Pro 3
• Dedicated budget for personal and professional growth

Before you apply

• Applicants must have legal authorization to work in the country of application.

About the company

Ultralytics is on a mission to simplify AI for everyone as the creators of the world's leading YOLO models. They are a fast-scaling, high-performance team redefining the future of vision AI.