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ML Platform Engineer

SR2 | Socially Responsible Recruitment | Certified B Corporation™Greater London, England, United KingdomPosted 5d ago
AI Engineer
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Job Description

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.