ML Platform Engineer at SR2 | Socially Responsible Recruitment | Certified B Corporation™, Greater London, £575 per day

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.