🔥 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.