MLOps Engineer

I’m currently partnering with one of the UK’s leading consumer technology businesses as they continue to invest heavily in their Data & AI capabilities.

They’re looking for an MLOps Engineer to help build and scale the infrastructure that enables machine learning across the organisation. Working alongside Data Scientists, Data Engineers and Software Engineers, you’ll play a key role in taking ML models from experimentation through to reliable, production-ready deployment.

This is an opportunity to join a highly collaborative engineering environment where you’ll influence the future of the ML platform while working with modern cloud technologies and best engineering practices.

What you’ll be doing

• Building and scaling cloud-native infrastructure for machine learning
• Developing tooling that enables Data Scientists to deploy models efficiently
• Improving model monitoring, performance and reliability in production
• Building infrastructure using Infrastructure as Code
• Collaborating across Engineering and Data teams to improve the end-to-end ML lifecycle
• Helping shape the future direction of the company’s MLOps capability
• Python
• AWS (SageMaker, ECS, Lambda, S3, Glue)
• Terraform
• FastAPI
• Snowflake
• SQL
• Grafana
• Metaplane

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