Vision AI Solutions Engineer: YOLO, Edge & Cloud

Ultralytics Yolo

City of Westminster

On-site

GBP 90,000 - 120,000

Full time

12 days ago
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Benefits offered by this job

Competitive compensation
On-site collaboration in London
Flexible working hours
Generous time off: 24 vacation days

Job summary

Ultralytics in London, United Kingdom seeks a Solutions Engineer to turn complex computer vision problems into production systems built on YOLO. You will lead discovery, design architectures, build benchmarks, and guide customers from first contact to deployed models.

The role spans across Sales, Customer Success, Product, and Engineering, with hands-on work in Python, model training, and edge/cloud deployments.

Qualifications

  • Strong Python and practical experience with YOLO, OpenCV, PyTorch, and computer vision.
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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 production-ready pipelines.
  • Deliver technical demos, workshops, architecture reviews, and POCs that move opportunities forward.
  • Turn customer solutions into reusable assets and provide feedback to Product/Engineering.

Skills

Python
OpenCV
PyTorch
Docker
Cloud platforms
Edge deployments
Communication skills
System design
Linux
YOLO

Tools

Git
REST APIs
AWS/Azure/GCP
CUDA

Job description

Ultralytics in London, United Kingdom seeks a Solutions Engineer to turn complex computer vision problems into production systems built on YOLO. You will lead discovery, design architectures, build benchmarks, and guide customers from first contact to deployed models.

The role spans across Sales, Customer Success, Product, and Engineering, with hands-on work in Python, model training, and edge/cloud deployments.

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