Harnham

MLOps Engineer

Job Location

London, UK, United Kingdom

Job Description

MLOps Engineer London £60,000-£70,000 About the Role: Join a cutting-edge technology company at the forefront of immersive experiences powered by machine learning and extended reality. We are seeking a skilled MLOps Engineer to help build, deploy, and maintain scalable machine learning infrastructure that drives innovation in our products. You will play a critical role in developing scalable ML infrastructure that powers immersive XR applications with real-time 3D content. Key Responsibilities: Design, develop, and maintain scalable MLOps pipelines tailored for XR applications, ensuring smooth deployment and monitoring of machine learning models. Collaborate closely with 3D artists and XR developers to integrate machine learning workflows with 3D rendering engines. Optimize ML models and workflows for real-time inference within 3D environments and XR platforms. Manage cloud infrastructure and automation tools to support continuous integration and continuous deployment (CI/CD) of ML models. Troubleshoot and resolve performance bottlenecks related to ML inference and 3D rendering workloads. Develop monitoring solutions to track model performance and system health in production. Stay up to date with the latest trends in MLOps, XR technologies, and 3D rendering techniques to propose innovative improvements. Qualifications: Proven experience as an MLOps engineer or similar role with a focus on 3D applications Strong programming skills in Python, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.) Expertise in 3D reconstruction and rendering Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker) Excellent problem-solving skills and ability to work cross-functionally in a fast-paced environment Please register your interest for this role by sending your CV to Rosie O'Callaghan via the apply link on this page

Location: London, UK, GB

Posted Date: 8/2/2025
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Harnham

Posted

August 2, 2025
UID: 5288371316

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