12 of 12 Remote Validation Jobs in West Yorkshire

transformations, and CI/CD best practice. Partner with analysts and data scientists to deliver performant and reliable datasets. Implement data quality monitoring, validation processes, and performance optimisation. Support AI initiatives by designing AI marts, feature engineering structures, and ML-ready datasets. Contribute to standardised KPIs, metadata, and a single ...

feature stores, vector/embedding stores, and core data assets for ML. Develop and manage end-to-end traditional ML pipelines: data prep, training, validation, deployment, and monitoring. Implement data quality checks, drift detection, and automated retraining processes. Optimise cost, latency, and performance across all AI/ML infrastructure. Collaborate ...

feature stores, vector/embedding stores, and core data assets for ML. Develop and manage end-to-end traditional ML pipelines: data prep, training, validation, deployment, and monitoring. Implement data quality checks, drift detection, and automated retraining processes. Optimise cost, latency, and performance across all AI/ML infrastructure. Collaborate ...

feature stores, vector/embedding stores, and core data assets for ML. Develop and manage end-to-end traditional ML pipelines: data prep, training, validation, deployment, and monitoring. Implement data quality checks, drift detection, and automated retraining processes. Optimise cost, latency, and performance across all AI/ML infrastructure. Collaborate ...

generate actionable insights. Build high-performing predictive models, statistical analyses, and ML pipelines across varied data types. Design and implement rigorous experiment frameworks and validation strategies. Automate workflows, feature pipelines, and reproducible research environments. Conduct exploratory data analysis, hypothesis testing, and interpret modeling outcomes. Collaborate with ML engineers and research ...

generate actionable insights. Build high-performing predictive models, statistical analyses, and ML pipelines across varied data types. Design and implement rigorous experiment frameworks and validation strategies. Automate workflows, feature pipelines, and reproducible research environments. Conduct exploratory data analysis, hypothesis testing, and interpret modeling outcomes. Collaborate with ML engineers and research ...

generate actionable insights. Build high-performing predictive models, statistical analyses, and ML pipelines across varied data types. Design and implement rigorous experiment frameworks and validation strategies. Automate workflows, feature pipelines, and reproducible research environments. Conduct exploratory data analysis, hypothesis testing, and interpret modeling outcomes. Collaborate with ML engineers and research ...

into the effects of any changes made. Your responsibilities will cover: Build dashboards and reports Use Excel for advanced formulas, pivot tables and data validation Create a test and learn framework using A/B testing methodologies Collaborate with the marketing team to define reporting frameworks Use data insights ...

data governance during the transition Requirements: Experience in data analysis, data quality, cleansing, or migration projects Strong understanding of data structures, relational databases and validation methods Confident use of Excel and analytics tools such as Power BI Excellent attention to detail and a proactive, collaborative approach to work Experience supporting ...

agents for improved domain-specific performance. Create reusable instructions, templates, and best practices for AI agents. Potential to collaborate asynchronously with AI researchers on validation and design. Requirements: Strong experience in finance, investment banking, private equity, or hedge fund experience preferred. Strong practical understanding of financial modelling, transactions, or research ...

agents for improved domain-specific performance. Create reusable instructions, templates, and best practices for AI agents. Potential to collaborate asynchronously with AI researchers on validation and design. Requirements: Strong experience in finance, investment banking, private equity, or hedge fund experience preferred. Strong practical understanding of financial modelling, transactions, or research ...

agents for improved domain-specific performance. Create reusable instructions, templates, and best practices for AI agents. Potential to collaborate asynchronously with AI researchers on validation and design. Requirements: Strong experience in finance, investment banking, private equity, or hedge fund experience preferred. Strong practical understanding of financial modelling, transactions, or research ...