Senior MLOps Engineer
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The role
Join a global analytics team to design, build and maintain scalable ML infrastructure and pipelines powering production insights.
Collaborate with Data Scientists, ML Engineers, Software Engineers and Product teams to deliver robust, automated ML systems.
Drive automation with CI/CD for ML models, automate retraining workflows, and build monitoring for reliability.
Tackle ambiguous infrastructure problems, evaluate new MLOps tools, and architect scalable solutions.
Mentor teammates on model versioning, experiment tracking and feature stores to establish best practices.
Location: London area or UK-wide remote; you’ll own your work with autonomy and support for work-life harmony.
Collaborate with Data Scientists, ML Engineers, Software Engineers and Product teams to deliver robust, automated ML systems.
Drive automation with CI/CD for ML models, automate retraining workflows, and build monitoring for reliability.
Tackle ambiguous infrastructure problems, evaluate new MLOps tools, and architect scalable solutions.
Mentor teammates on model versioning, experiment tracking and feature stores to establish best practices.
Location: London area or UK-wide remote; you’ll own your work with autonomy and support for work-life harmony.
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