5 of 5 Contract Feature Engineering Jobs in England

multiple internal and external sources. Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Design and implement data pipelines for model-ready datasets in collaboration with data engineering teams. Apply feature engineering and selection techniques to improve model accuracy and interpretability. Develop and validate machine learning and statistical models for prediction, classification, clustering, or optimization. … on project requirements. Evaluate models using appropriate metrics and perform hyperparameter tuning for optimal performance. Convert proof-of-concept models into production-grade pipelines in collaboration with MLOps and engineering teams. Required: Translate model outcomes into actionable insights through clear storytelling and visualizations. Build dashboards and reports using Power BI, Tableau, or Python-based visualization tools. Communicate findings to More ❯

lifecycle of AI solution development from concept to deployment and maintenance. Utilize programming skills in Python to automate processes and enhance functionality. Work with large datasets for data preprocessing, feature engineering, and model evaluation. Develop and maintain REST APIs and microservices architectures. Monitor, evaluate, and apply governance frameworks for AI/ML models in production environments. Prepare technical … documentation and effectively communicate complex concepts to both technical and non-technical stakeholders. Required Skills & Qualifications: Minimum 3 years of experience in AI solution engineering, specifically in enterprise environments. Demonstrable experience with Microsoft Azure AI services, including AI Foundry and Microsoft Copilot Studio. Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. … Experience with Large Language Models, prompt engineering, and RAG implementations. Strong skills in data analytics, API development, and MLOps practices including CI/CD for ML. Excellent technical documentation and communication skills. Desirable knowledge in Docker, Kubernetes, and understanding of financial services or regulatory environments. In the first instance, please submit your CV. More ❯

experience in a data science or machine learning role Strong programming skills in Python and familiarity with key data libraries (e.g. pandas, NumPy, scikit-learn) Experience with data wrangling , feature engineering, and model optimisation Understanding of data pipelines , APIs, and production deployment workflows Excellent communication skills and a collaborative approach Why Apply? Work on mission-critical UK Government More ❯

as; AI Foundry, Open-AI services, and Microsoft Copilot Studio. Apply governance frameworks for AI/ML models. Python knowledge to automate processes Large datasets experience, including data preprocessing, feature engineering, and model evaluation. Agile development of AI solution from concept to deployment to continuous improvement. Create and maintain technical documentation Communicate complex concepts to all stakeholders. At … least 3 years of experience in AI solution engineering. Large Language Models experience including prompt engineering and RAG implementations. Expert data analytics, MLOps practices and API development. Desirable knowledge in Docker and Kubernetes More ❯

stakeholders. The role will consolidate data, dashboards, reports, models, and analytical outputs into a single, user-friendly Fabric-based experience leveraging Power BI, OneLake, and Fabric’s integrated data engineering and analytics capabilities . The BI Analyst will ensure the solution is visually intuitive, performant, accessible, and aligned with user needs across the organisation. Key Responsibilities Partner with Business … Analysts and Product Teams to identify high-impact analytical opportunities and deliver insights using Microsoft Fabric (Power BI, Data Engineering, Data Factory, Lakehouse) . Conduct exploratory data analysis (EDA) within Fabric to identify patterns, anomalies, and meaningful trends, translating findings into clear visual stories for decision-makers. Work alongside Data Engineers to support data ingestion, transformation, and feature engineering using Fabric’s Data Factory, Lakehouse, and pipelines. Design and develop a single-pane-of-glass analytics interface within Microsoft Fabric, integrating dashboards, reports, semantic models, and data assets into a coherent user experience. Implement WCAG 2.2 accessibility standards , ensuring the interface is inclusive and usable for all audiences. Optimise front-end performance across Fabric workspace components More ❯