76 to 100 of 115 Data Cleansing Jobs in the UK

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 ...

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 ...

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 ...

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 ...

fully-automated pipelines for dictionary building; including span identification, word sense distribution, and sense granularity decision Work with a vast amount of unique data - we have data from over 1M language tests, including text and voice data Create brand new dictionaries … train models to determine the difficulty of words, idioms, phrasal verbs etc. Analyse large amounts of diverse data - including data from every movie, book, and song Work in a cross-functional team and communicate with backend engineers and product managers Create new types ...