🔥 Who We Are
AtUltralytics, we relentlessly drive innovation in AI, building the world's leadingYOLO 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. Joinour teamand helpshape the future of Vision AI.
🌎 Location and Legalities
This full-time MLOps Engineer position is based onsite in our brand-newUltralytics officein 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 ourmachine learning lifecycleis efficient, scalable, and robust. Key responsibilities include:
- Designing, building, and maintaining our MLOps infrastructure on cloud platforms likeGCPandAWS.
- Developing and managing automatedCI/CDpipelines for model training, validation, anddeploymentusing tools likeGitHub Actions.
- Containerizing our applications and models usingDockerand orchestrating them withKubernetesfor scalable model serving.
- Optimizing the performance of ourUltralytics YOLO11models for various deployment targets, from high-performance cloud GPUs withCUDAto edge devices using frameworks likeTensorRTandOpenVINO.
- Implementing robust systems formodel monitoring and maintenanceto track performance and detect data drift.
- Collaborating closely with our AI research team to streamline the transition of models from research to production within theUltralytics HUBecosystem.
- Managing our experiment tracking and versioning using tools likeMLflowandDVC.
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 inPythonand extensive experience with ML frameworks likePyTorch.
- Proven experience building and managingCI/CDpipelines formachine learningsystems.
- 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 asTerraformor Ansible.
- Familiarity with GPU acceleration usingCUDAand model optimization for inference.
- Knowledge of MLOps tools for experiment tracking, and model serving such asMLflow, Kubeflow, orWeights & 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 ourmission, vision, and values. Ourteamthrives 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.
đź’¶ 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-edgeAI projects.
- Gear:Brand-new Apple MacBook and Apple Display provided.
- Team:Become part of a supportive and passionateteam 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 toapply to Ultralytics.
