MLOps Engineer

1 week ago


London Area, United Kingdom Harrington Starr Full time

Job Title: MLOps EngineerLocation: On-site, 5 days per week Total Compensation: Up to £200,000We are seeking an experienced MLOps Engineer to join a forward-thinking trading organisation. This is an exciting opportunity to design and implement the infrastructure that powers advanced machine learning workflows in a production trading environment.Key Responsibilities:Feature Store & Data Lake: Build scalable infrastructure for time-series feature storage, retrieval, and versioning optimised for ML workloads.MLOps Pipelines: Design end-to-end workflows for data ingestion, feature engineering, model training, backtesting, and deployment.Data Ingestion Layer: Connect raw data streams into structured, queryable formats (Parquet/Delta Lake).Production Serving: Deploy feature computation and model inference with appropriate latency characteristics.Integration: Collaborate with existing data capture and execution systems to ensure seamless operations.CI/CD Pipeline: Implement and maintain robust continuous integration and deployment pipelines for ML models.Requirements:Strong experience in building and maintaining MLOps pipelines.Hands-on experience with feature stores, data lakes, and time-series data.Proficiency with modern data formats like Parquet and Delta Lake.Familiarity with production ML model deployment and latency optimisation.Experience integrating ML workflows with existing data and execution systems.Strong understanding of CI/CD practices in ML contexts.Why This Role:Work in a cutting-edge, data-driven trading environment.Collaborate with a highly skilled team of engineers and data scientists.Opportunity to make a direct impact on ML infrastructure and trading performance.Competitive total compensation of up to £200,000.


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