CMC Markets is seeking an ML Ops/Data Engineer to enhance the reliability and operational integrity of their machine-learning systems. The role focuses on designing data pipelines, deploying models, and ensuring the observability of ML systems, requiring a hands-on engineering approach rather than a research-driven one
Job Summary
This role sits at the intersection of data engineering and ML infrastructure, designing and operating data pipelines that feed models and building tooling to train, deploy, monitor, and retrain them.
You will work closely with research engineers and product teams, taking models from experimentation to production-grade systems with clear SLAs, reproducibility guarantees, and observable behaviour.
Our models only create value when they are correct, observable, and dependable in production; this role is responsible for that reality, reducing the gap between promising experiments and systems that can be trusted.
Matching Summary
Match Score: 85
CMC Markets is seeking an ML Ops/Data Engineer to enhance the reliability and operational integrity of their machine-learning systems. The role focuses on designing data pipelines, deploying models, and ensuring the observability of ML systems, requiring a hands-on engineering approach rather than a research-driven one.
Skills & Requirements
Must-have
production Python skills
ML model deployment and operation
CI/CD pipelines for ML
model monitoring and alerting
batch and streaming data pipelines
cloud infrastructure and containers
system design reasoning
Nice-to-have
TB-scale data volumes
automated retraining experience
feature stores familiarity
shared ML platform experience
regulated environments exposure
Key Requirements
3-7 years professional experience
Strong production Python skills
Experience deploying ML models
Solid understanding of model training vs inference