MLOps Engineer (City of London)

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.

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.