MLOps Engineer
Jobtraffic · London, England ·
90,000 - 100,000Greater LondonMLOps Engineer London (Hybrid) | Python | ML Infrastructure | High OwnershipModels are already in production. The infrastructure is live. Now they need someone to take ownership of how it all scales.
I'm working with a company looking for a Senior MLOps Engineer to take technical ownership of its AWS-native machine learning platform. This isn't a role focused on experimenting with models or simply maintaining cloud infrastructure.
You'll be responsible for how ML models actually reach production, perform reliably and continue to improve at scale. The platform is already operational, with an established AWS environment and a ~5TB data lake. The next challenge is making the infrastructure more automated, observable and scalable, while laying the foundations for future GenAI applications.
What they're looking for: Strong track record of deploying and operating real ML systems in productionDeep hands-on experience with AWS SageMaker and PythonExperience designing ML pipelines, deployment automation and monitoringSolid understanding of cloud-native infrastructure and data engineeringSomeone comfortable debugging complex production issues and making architectural decisions independentlyExperience with Kafka, Iceberg, Athena or Parquet would be a bonus.
You'll be the go-to engineer for MLOps within a lean technical team, with genuine ownership over the platform rather than responsibility for one small part of a larger system.