SR2 | Socially Responsible Recruitment | Certified B Corporation™
ML Platform Engineer
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
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.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Experience with DynamoDB, Redis, feature stores, payments, fraud or other low-latency environments would be a strong advantage.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location