1 of 1 Remote Data Quality Jobs in Preston

Doing Design, build, and deploy AI models into production (not just prototypes or wrappers). Develop and maintain backend Python services that power intelligent automation workflows. Implement enterprise-scale data pipelines for ingesting and processing financial and regulatory documents, with automated data quality checks and monitoring. Train and optimize models on banking rules, compliance standards, and regulatory … engineering with a track record of deploying AI into production at scale. Technical Skills: Strong backend Python; expertise with ML frameworks (TensorFlow, PyTorch, Scikit-Learn, etc.); familiarity with modern data pipeline tools (Airflow, Spark, Kafka) and workflow orchestration frameworks such as n8n or LangGraph. Applied AI: Background in enterprise applications such as chatbots, workflow automation, RAG pipelines, or intelligent More ❯