Computer Vision Engineer

Job description

Who We Are

At

Ultralytics

, we relentlessly drive innovation in AI, building the world's leading

YOLO models

. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join

our team

and help shape the future of

Vision AI

.

Location and Legalities

This full-time Computer Vision Engineer position is based onsite in our brand-new

Ultralytics office

in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship.

What You'll Do

As a Computer Vision Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class,

open-source AI models

. You will drive the entire lifecycle of our models, from research to real-world deployment. Key responsibilities include:

• Developing, training, and optimizing state-of-the-art

  computer vision models

  , with a primary focus on the

  Ultralytics YOLO

  ecosystem.
• Implementing advanced

  data augmentation

  and preprocessing techniques to improve model robustness on diverse

  datasets

  .
• Leading the full lifecycle of model development, from research and

  training

  to

  validation

  and performance

  benchmarking

  .
• Mastering model

  export

  to various formats such as

  ONNX

  ,

  OpenVINO

  , and

  TensorRT

  to support a wide range of hardware.
• Working on model

  deployment

  strategies, including optimizing models for high-performance inference on both cloud and

  edge devices

  .
• Contributing to our

  CI/CD

  pipelines using

  GitHub Actions

  to ensure code quality, reliability, and automated testing.
• Collaborating with the team to push the boundaries of what's possible in

  object detection

  ,

  segmentation

  , and other core

  computer vision tasks

  .

Your strategic vision and technical expertise will be essential in supporting

Ultralytics' mission

of delivering top-tier machine learning tools and models like

YOLO11

to the community.

Skills and Experience

• 5+ years of hands-on experience in

  Computer Vision

  and

  Deep Learning

  .
• Expert-level proficiency in

  Python

  and deep expertise with

  PyTorch

  .
• Strong practical experience with

  OpenCV

  for image and video processing tasks.
• Proven experience in training, fine-tuning, and deploying object detection models, particularly within the

  YOLO family

  .
• Familiarity with model optimization techniques such as quantization and pruning, and deployment frameworks like

  TensorRT

  and

  OpenVINO

  .
• Experience with MLOps tools and practices, including version control (Git),

  Docker

  , and

  CI/CD with GitHub Actions

  .
• Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment.
• A strong portfolio of projects or contributions to open-source

  AI repositories

  .

Cultural Fit - Intensity Required

Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our

mission, vision, and values

. Our

team

thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI.

Compensation and Benefits

• Competitive Salary: Highly competitive based on experience.
• Startup Equity: Participate directly in our company's growth and success.
• Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote.
• Generous Time Off: 24 days vacation, your birthday off, plus local holidays.
• Flexible Hours: Tailor your working hours to suit your productivity.
• Tech: Engage with cutting-edge

  AI projects

  and our

  Ultralytics HUB

  .
• Gear: Brand-new Apple MacBook and Apple Display provided.
• Team: Become part of a supportive and passionate

  team environment

  .

If you are driven to redefine the capabilities of

machine learning

and eager to make a significant impact,

Ultralytics

offers an exceptional career opportunity.

Extra information

Status

Open

Education Level

Secondary School

Location

City of London

Type of Contract

Full-time jobs

Published at

06-03-2026

Full UK/EU driving license preferred

No

Car Preferred

No

Must be eligible to work in the EU

No

Cover Letter Required

No

Languages

English