7 of 7 Contract Feature Engineering Jobs in the UK

audit requirements. Experience with GDPR and AI governance frameworks. Key responsibilities Build and deploy predictive and credit risk models. Lead exploratory data analysis, feature engineering, model validation and monitoring. Develop forecasting, simulation and stress-testing models. Work with data engineering teams to create modelling-ready datasets using ...

problem definition through to deployment in live environments.* Design, build, and deploy machine learning models within Pega-based decisioning platforms.* Lead model development across feature engineering, training, validation, and ongoing performance monitoring.* Work closely with application and logic developers to embed models into operational decision workflows.* Develop statistical ...

teams to align architecture with business objectives. Provide technical leadership and governance across AI work streams and delivery teams Drive best practice in AI engineering, model management, and data science operations Evaluate and select appropriate AI frameworks, tools, and cloud services to meet enterprise requirements Support the integration … systems Skills and Experience Proven experience delivering AI solutions at enterprise scale in production environments Strong background in Generative AI — including LLMs, prompt engineering, and model fine-tuning Hands-on experience with Hugging Face (model hub, Transformers, Inference API) Experience with AWS AI services (SageMaker, Bedrock, Rekognition, Comprehend ...

models (e.g., clustering, regression, predictive analytics) with ability to take problems from framing through to deployment-ready outputs Must be strong in data exploration, feature engineering, model evaluation, and communicating insights clearly to non-technical stakeholders ideally within demand-led public services (predictive demand, prevention, triage/segmentation ...

real-time capability Strong understanding of how to assess and enable data readiness for AI use cases, including data availability, data quality and feature engineering considerations Experience analysing decision-making workflows, identifying where data should better inform operational and strategic decisions Ability to establish and promote canonical data ...

real-time capability Strong understanding of how to assess and enable data readiness for AI use cases, including data availability, data quality and feature engineering considerations Experience analysing decision-making workflows, identifying where data should better inform operational and strategic decisions Ability to establish and promote canonical data ...

real-time capability Strong understanding of how to assess and enable data readiness for AI use cases, including data availability, data quality and feature engineering considerations Experience analysing decision-making workflows, identifying where data should better inform operational and strategic decisions Ability to establish and promote canonical data ...