8 of 8 Permanent Data Cleansing Jobs in the East of England

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could … have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals ...

Group are working with a long established and successful pharmaceutical company in Hertfordshire. They are transitioning from paper-based clinical data collection to electronic data capture (EDC) and are looking for a permanent Clinical Database Programmer to support this. This will be fully office … office on completion of the probation period. RESPONSIBILITIES: As Clinical Database Programmer you will build and maintain study databases, design electronic data collection forms, program edit checks to ensure data quality, create data tables and reports to be used for study ...

fallbacks, and graceful degradation Create monitoring and observability for production ML (model performance, drift detection, alerts, rollback plans) Work with high-frequency market data: missing data, late arrivals, outliers, regime shifts, and noisy signals Collaborate directly with the Head Trader to translate strategy goals … Strong understanding of validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies ...

fallbacks, and graceful degradation Create monitoring and observability for production ML (model performance, drift detection, alerts, rollback plans) Work with high-frequency market data: missing data, late arrivals, outliers, regime shifts, and noisy signals Collaborate directly with the Head Trader to translate strategy goals … Strong understanding of validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies ...

fallbacks, and graceful degradation Create monitoring and observability for production ML (model performance, drift detection, alerts, rollback plans) Work with high-frequency market data: missing data, late arrivals, outliers, regime shifts, and noisy signals Collaborate directly with the Head Trader to translate strategy goals … Strong understanding of validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies ...

fallbacks, and graceful degradation Create monitoring and observability for production ML (model performance, drift detection, alerts, rollback plans) Work with high-frequency market data: missing data, late arrivals, outliers, regime shifts, and noisy signals Collaborate directly with the Head Trader to translate strategy goals … Strong understanding of validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies ...

fallbacks, and graceful degradation Create monitoring and observability for production ML (model performance, drift detection, alerts, rollback plans) Work with high-frequency market data: missing data, late arrivals, outliers, regime shifts, and noisy signals Collaborate directly with the Head Trader to translate strategy goals … Strong understanding of validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies ...

fallbacks, and graceful degradation Create monitoring and observability for production ML (model performance, drift detection, alerts, rollback plans) Work with high-frequency market data: missing data, late arrivals, outliers, regime shifts, and noisy signals Collaborate directly with the Head Trader to translate strategy goals … Strong understanding of validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies ...