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MLOps Engineer
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OverviewAt 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 LegalitiesThis 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 DoAs 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.Skills and Experience5+ 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 RequiredUltralytics 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 BenefitsCompetitive 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.Seniorities and RolesSeniority level: AssociateEmployment type: Full-timeJob function: Engineering, Product Management, and Information TechnologyIndustries: Software Development and Information Services #J-18808-Ljbffr
