2 of 2 Contract Feature Engineering Jobs in the UK excluding London

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 ❯

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 ❯