Senior MLOps Engineer: Production ML on SageMaker

Understanding Recruitment; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Understanding Recruitment is seeking a Senior MLOps Engineer in London (Hybrid) to own the AWS-native ML platform, deploying, monitoring and maintaining production models. You will work closely with data scientists to move experiments into production and improve the platform's reliability.

You’ll drive ML CI/CD, model versioning, and deployment while evolving data infrastructure. Strong SageMaker and Python skills are essential, along with experience in data engineering and cloud-native ML

Qualifications

• Experience deploying and operating ML models in production.
• Strong hands-on AWS SageMaker and Python expertise.
• Experience building ML pipelines, deployment automation and monitoring.
• Understanding of data engineering and cloud-native ML infrastructure.

Responsibilities

• Own production SageMaker deployments, inference pipelines, and model lifecycle management.
• Build automated ML CI/CD workflows, including versioning, validation and deployment.
• Improve model monitoring, observability, reliability and performance.
• Evolve a data lake (~5TB) using Kafka, Iceberg, Parquet and Athena.

Skills

ML deployment

Python

AWS SageMaker

CI/CD pipelines

Model monitoring

Data engineering

GenAI readiness

Tools

Kafka

Apache Iceberg

Parquet

Athena

Job description

Understanding Recruitment is seeking a Senior MLOps Engineer in London (Hybrid) to own the AWS-native ML platform, deploying, monitoring and maintaining production models. You will work closely with data scientists to move experiments into production and improve the platform's reliability.

You’ll drive ML CI/CD, model versioning, and deployment while evolving data infrastructure. Strong SageMaker and Python skills are essential, along with experience in data engineering and cloud-native ML