Feb 10, 2026
Duration not stated
Outside Spy
City of London, London, UK
MLOps Data Engineer Hybrid 2/3 days – London Outside IR/35 We’re looking for a Data Engineer with strong MLOps ownership—someone who builds reliable data pipelines and designs, runs, and improves ML pipelines in production. You won’t be training models day-to-day like a Data Scientist; instead, you’ll enable Data Science by delivering high-quality datasets, reproducible training pipelines, robust deployments, and monitoring that keeps ML systems healthy and trustworthy. What you’ll do Design, build, and operate scalable data pipelines for ingestion, transformation, and distribution Develop and maintain ML pipelines end-to-end: data preparation, feature generation, training orchestration, packaging, deployment, and retraining Partner closely with Data Scientists to productionize models: standardise workflows, ensure reproducibility, and reduce time-to-production Build and maintain MLOps automation: CI/CD for ML, environment management, artefact handling,...