Partner Solutions Engineer — Vision AI Deployments

Ultralytics; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Equity packages

On-site collaboration

Flexible hours

24 vacation days

Job summary

Ultralytics in London is seeking a Partner Solutions Engineer to join our team on-site. You will lead partner-facing technical calls, design architectures for YOLO training and deployment, and build demos using Python, OpenCV, PyTorch, and Docker.

You’ll collaborate with engineering to enable partners and accelerate integrations across platforms. The role requires deep CV/AI experience, strong English communication, and willingness to travel for partner meetings and events.

Qualifications

• Experience in computer vision and AI with Python, YOLO, OpenCV, PyTorch.
• Experience training, exporting, deploying models; ONNX, TensorRT, OpenVINO, QNN, LiteRT, INT8 quantization.
• Lead partner-facing technical calls, scope work, deliver demos or architectures.
• Review GitHub PRs and write clear technical docs.
• Work across Linux, macOS, Windows with Docker and standard workflows.
• Strong English speaking/writing; willing to travel for meetings and events.
• Resourceful, collaborative, ownership mindset in a fast-paced startup.

Responsibilities

• Lead partner-facing technical calls and project scoping.
• Design solution architectures for YOLO training, export, and deployment.
• Build demos and prototypes using Python, OpenCV, PyTorch, Docker.
• Support model export and INT8 quantization across ONNX, TensorRT, OpenVINO, QNN, LiteRT.
• Assist partners deploy across Linux, macOS, Windows; document guidance.
• Collaborate with Head of Partnerships and engineering teams.

Skills

Python

YOLO

OpenCV

PyTorch

Linux

Docker

Windows

macOS

GitHub PRs

Documentation

English

Tools

ONNX

TensorRT

OpenVINO

QNN

LiteRT

INT8 quantization

Job description

Ultralytics in London is seeking a Partner Solutions Engineer to join our team on-site. You will lead partner-facing technical calls, design architectures for YOLO training and deployment, and build demos using Python, OpenCV, PyTorch, and Docker.

You’ll collaborate with engineering to enable partners and accelerate integrations across platforms. The role requires deep CV/AI experience, strong English communication, and willingness to travel for partner meetings and events.