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 .
