MLOps Engineer

JR United Kingdom; Slough; On-site; GBP 65,000 - 85,000; Full time

Job summary

A cutting-edge technology company in Slough seeks an experienced MLOps Engineer to join their innovative team. The role involves designing and maintaining scalable MLOps pipelines for extended reality applications, collaborating with 3D artists, and optimizing machine learning models for real-time performance. Candidates should have strong programming skills in Python and experience with ML frameworks and cloud platforms. This position offers a dynamic work environment focused on immersive technologies.

Qualifications

• Proven experience as an MLOps engineer or similar role with a focus on 3D applications.
• Strong programming skills in Python.
• Familiarity with ML frameworks (TensorFlow, PyTorch).
• Expertise in 3D reconstruction and rendering.
• Experience with cloud platforms and container orchestration.
• Excellent problem-solving skills.

Responsibilities

• Design, develop, and maintain scalable MLOps pipelines for XR applications.
• Collaborate with 3D artists and XR developers.
• Optimize ML models and workflows for real-time inference.
• Manage cloud infrastructure and automation tools for CI/CD.
• Troubleshoot performance bottlenecks in ML inference and 3D workloads.
• Develop monitoring solutions for model performance.

Skills

MLOps engineering

3D applications

Python

TensorFlow

PyTorch

Cloud platforms

Kubernetes

Docker

Problem-solving

Tools

AWS

GCP

Azure

Job description

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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