Vision AI Solutions Engineer — Deploy YOLO in Production

Ultralytics; Greater London; On-site; GBP 75,000 - 110,000; Full time

Benefits offered by this job

On-site London hub

Flexible working hours

Generous vacation days

Tech & tools provision

Job summary

Ultralytics in London is seeking a Solutions Engineer to translate complex computer vision problems into production systems built on YOLO. You’ll drive technical discovery, design architectures, and guide customers from first conversation to deployed models.

You’ll collaborate with Sales, CS, Product, and Engineering across manufacturing, retail, and other industries. Proficiency in Python, model training, and deployment is essential; remote work is not offered for this on-site role.

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.

Responsibilities

• 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.
• 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 Ultralytics documentation and YOLO guides to deliver reliable customer outcomes.
• Deliver technical demos, workshops, architecture reviews, and POCs 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.
• 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 and GitHub organization.

Skills

Python

YOLO

OpenCV

PyTorch

Docker

Git

REST APIs

Linux

Cloud platforms

Edge workflows

Technical demos

Architecture design

Tools

YOLO workflows

CUDA

TensorRT

ONNX

Job description

Ultralytics in London is seeking a Solutions Engineer to translate complex computer vision problems into production systems built on YOLO. You’ll drive technical discovery, design architectures, and guide customers from first conversation to deployed models.

You’ll collaborate with Sales, CS, Product, and Engineering across manufacturing, retail, and other industries. Proficiency in Python, model training, and deployment is essential; remote work is not offered for this on-site role.