Senior MLOps Engineer: Scale GPU ML Pipelines

Rivian; Remote; GBP 70,000 - 90,000; Full time

Job summary

A leading electric vehicle manufacturer in the United Kingdom is seeking a skilled MLOps Engineer. This role involves architecting large-scale ML training platforms using Kubernetes, optimizing GPU resource allocation, and owning continuous training and deployment pipelines. The ideal candidate will have over 5 years of engineering experience, with a strong background in MLOps and proficiency in Python. Join us in revolutionizing electric vehicles while ensuring that data-driven decisions are at the heart of our innovation. Competitive compensation and benefits are available.

Benefits

Health insurance

Remote work options

Qualifications

• 5+ years of engineering experience, minimum 3 years specifically in MLOps.
• Extensive experience in Kubernetes for ML workloads.
• Strong proficiency in Python and familiarity with Go.
• Hands-on experience with Ray, Spark, or Kubeflow.

Responsibilities

• Architect large-scale ML training platforms with Kubernetes.
• Optimize GPU utilization and scheduling logic.
• Own CI/CD pipelines for machine learning.
• Build low-latency inference services.

Skills

Kubernetes expertise

ML frameworks proficiency

Python programming

Distributed compute experience

Cloud native ML knowledge

Education

5+ years of engineering experience

3+ years in MLOps or ML Infrastructure

Tools

TensorFlow

Ray

AWS services

Docker

Terraform

Job description

A leading electric vehicle manufacturer in the United Kingdom is seeking a skilled MLOps Engineer. This role involves architecting large-scale ML training platforms using Kubernetes, optimizing GPU resource allocation, and owning continuous training and deployment pipelines. The ideal candidate will have over 5 years of engineering experience, with a strong background in MLOps and proficiency in Python. Join us in revolutionizing electric vehicles while ensuring that data-driven decisions are at the heart of our innovation. Competitive compensation and benefits are available.