MLOps Engineer

Job Details

Role / Job Title:MLOps Engineer

Work Location:London, UK

Office Requirement (Hybrid):2 days per week

Key Responsibilities (High-Level)

Design, implement, and maintain scalable ML model deployment pipelines (CI/CD for ML).
Build infrastructure to monitor model performance, data drift, and other key metrics in production.
Develop and maintain tools for model versioning, reproducibility, and experiment tracking.

The Role

As an MLOps Engineer, you will support these products from inception. This requires working across the full data ecosystem: developing application-specific data pipelines (features), building CICD pipelines that automate the training and deployment of machine learning models, publishing the model results for downstream consumption, and/or building out the APIs that serve model outputs to downstream systems on-demand.

Your Responsibilities

Design, implement, and maintain scalable ML model deployment pipelines (CI/CD for ML).
Build infrastructure to monitor model performance, data drift, and other key metrics in production.
Develop and maintain tools for model versioning, reproducibility, and experiment tracking.
Optimize model serving infrastructure for latency, scalability, and cost.
Automate the end-to-end ML workflow, from data ingestion to model training, tes...