MLOps Engineer

A high-performance company who develop software and hardware products for the entertainment, engineering and life science industries are looking for a MLOps Engineer to join the team in Oxford.

The team are looking for an excellent ML Ops Engineer to join their research and development team in Oxford, England.

This opportunity is to join the ML Operations teams which supports the ML Development team in building leading-edge products through provisioning and maintaining a modern ML Operations stack.

This stack covers data acquisition pipelines, data management and ML model training infrastructure for both Software and on-prem hardware. They use both on-prem, self-managed systems and also leverage AWS infrastructure.

Essential: Experience of managing an on-prem Kubernetes clusters. Working knowledge of Kubeflow and other systems such as MLflow Exposure to cloud based systems e.g. AWS, Azure or GCP (they use AWS) Knowledge of Linux systems including scripting and system configuration. Understanding of how ML tools fit into MLOps pipeline

Desirable: Programming experience – ideally C++ or Java Background in DevOps – CI systems, Infrastructure-as-code

Location – Oxford (Hybrid worki...