ML Platform Engineer: Production ML & Observability

CMC MARKETS PLC; City of Westminster; On-site; GBP 70,000 - 100,000; Full time

Job summary

CMC Markets PLC is seeking an ML Ops Engineer to build and operate platform capabilities that move ML models from experimentation to reliable production services. You will own automation, deployment, observability, and controls around the ML lifecycle, collaborating with research, software, platform and product teams.

You will design repeatable workflows for training, validation, deployment and retraining, productionise models with versioning, and create CI/CD pipelines for ML systems.

Qualifications

• 3-7 years of professional experience in MLOps or ML platform engineering.
• Strong production Python skills with clean APIs and testing.
• Experience deploying models in production and monitoring.

Responsibilities

• Build repeatable workflows for model training, validation, deployment and retraining.
• Productionise models with versioning, model registry integration and deployment automation.
• Design CI/CD pipelines for ML systems, including testing, validation and release controls.
• Manage experiment tracking and reproducibility across teams.
• Build tooling to support multiple models and engineering groups.
• Collaborate with research, engineering, platform and product teams.

Skills

Python

PyTorch

MLOps

CI/CD

Observability

Containers

IaC

SRE/DevOps

Communication

Tools

MLflow

Kubeflow

Docker

Kubernetes

Airflow

Job description

CMC Markets PLC is seeking an ML Ops Engineer to build and operate platform capabilities that move ML models from experimentation to reliable production services. You will own automation, deployment, observability, and controls around the ML lifecycle, collaborating with research, software, platform and product teams.

You will design repeatable workflows for training, validation, deployment and retraining, productionise models with versioning, and create CI/CD pipelines for ML systems.