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MLOps Engineer

Ultralytics
City of London
1 month ago
Applications closed

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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 MLOps 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 an MLOps Engineer at Ultralytics, you will build and manage the infrastructure that powers our cutting-edge AI models, from training to deployment. You will be at the heart of our operations, ensuring our

machine learning lifecycle

is efficient, scalable, and robust. Key responsibilities include:
Designing, building, and maintaining our MLOps infrastructure on cloud platforms like

GCP

and

AWS .
Developing and managing automated

CI/CD

pipelines for model training, validation, and

deployment

using tools like

GitHub Actions .
Containerizing our applications and models using

Docker

and orchestrating them with

Kubernetes

for scalable model serving.
Optimizing the performance of our

Ultralytics YOLO11

models for various deployment targets, from high-performance cloud GPUs with

CUDA

to edge devices using frameworks like

TensorRT

and

OpenVINO .
Implementing robust systems for

model monitoring and maintenance

to track performance and detect data drift.
Collaborating closely with our AI research team to streamline the transition of models from research to production within the

Ultralytics HUB

ecosystem.
Managing our experiment tracking and versioning using tools like

MLflow

and

DVC .
Your work will be critical to ensuring that our state-of-the-art models are accessible, reliable, and performant for our global user base.

️ Skills and Experience
5+ years of experience in a DevOps, SRE, or MLOps role.
Strong proficiency in

Python

and extensive experience with ML frameworks like

PyTorch .
Proven experience building and managing

CI/CD

pipelines for

machine learning

systems.
Deep expertise with containerization ( Docker ) and orchestration technologies ( Kubernetes ).
Hands-on experience with at least one major cloud provider ( GCP ,

Azure , AWS).
Experience with Infrastructure as Code (IaC) tools such as

Terraform

or Ansible.
Familiarity with GPU acceleration using

CUDA

and model optimization for inference.
Knowledge of MLOps tools for experiment tracking, and model serving such as

MLflow , Kubeflow, or

Weights & Biases .
Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment.

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 .
Gear:

Brand-new Apple MacBook and Apple Display provided.
Team:

Become part of a supportive and passionate

team environment .

If you are driven to build the backbone of next-generation AI and are ready for an intense and rewarding challenge, we encourage you to

apply to Ultralytics .

National AI Awards 2025

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