idpp
Senior Machine Learning Engineer
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Our client is seeking an experienced Senior MLOps/Machine Learning Platform Engineer to help accelerate the delivery of their next-generation fraud detection platform. This role is fully remote and can be based in the UK or Europe.
The Role
You'll join a specialist ML Platform team responsible for the infrastructure that underpins fraud detection models. While Data Scientists own the models themselves, this team owns the platform, tooling, reliability, scalability, and deployment frameworks that enable those models to operate in production at scale.
The organisation has a significant roadmap and is looking for a seasoned consultant who can quickly contribute, take ownership of key initiatives, and help drive delivery.
Key Responsibilities
- Enhance and scale a real-time ML platform supporting fraud detection in high-volume payment environments.
- Develop and improve feature store capabilities, ensuring online/offline feature parity and self-service data workflows.
- Build, optimise, and maintain streaming data pipelines using Kafka and Spark Structured Streaming.
- Design and implement robust model deployment processes, including CI/CD, canary releases, shadow testing, and observability.
- Improve training pipeline performance, reliability, and cost efficiency across Databricks and AWS environments.
- Strengthen platform security, infrastructure resilience, and operational standards through Terraform-led cloud engineering.
- Deliver end-to-end AWS platform improvements, including IAM, KMS, dependency management, and infrastructure hardening.
- Support multi-region platform operations and contribute to continuous improvements in scalability, reliability, and performance.
- Collaborate with data scientists and engineering teams to accelerate delivery of the fraud detection roadmap.
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.
Skills & Experience
Get help with your application
Your very own career expert that helps elevate your application to the next level.
- 5+ years' experience in Data Science, Machine Learning, or MLOps Engineering.
- 3+ years' consulting experience.
- Strong Python and MLOps/platform engineering background.
- Deep AWS knowledge (ECS, EC2, DynamoDB, IAM, KMS) and Terraform.
- Hands-on experience with Databricks, PySpark, Delta Lake, Unity Catalog, and MLflow.
- Experience with Kafka and Spark Structured Streaming.
- Proven track record deploying and operating ML models in production.
- Comfortable working independently in low-latency, high-availability environments.
If this position sounds of interest, apply with your latest CV. Please note, only shortlisted candidates will be contacted about the role.
“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