ML Platform Engineer

About the job Senior ML Platform / MLOps Engineer Remote | Outside IR35 | 6 months | Up to £575 per day Start: August Industry: Global payments We are looking for a Senior ML Platform / MLOps Engineer to support the real-time ML infrastructure behind fraud detection. This is a hands-on platform engineering role focused on low-latency, highly reliable production systems. You’ll be working across: ML platform and feature-store infrastructure Kafka and Spark Structured Streaming Model training, serving and deployment pipelines AWS and Terraform Databricks, PySpark, Delta Lake and MLflow CI/CD, observability and canary/shadow deployments We’re looking for someone with strong Python, AWS and production MLOps experience, ideally with a consulting background, who can own workstreams independently in environments with strict latency, reliability and cost constraints. Experience with DynamoDB, Redis, feature stores, payments, fraud or other low-latency environments would be a strong advantage.