51 to 55 of 55 Feature Engineering Jobs in England

or a related field. Proficiency in programming languages such as Python, R, or similar, along with experience with machine learning frameworks. Strong understanding of statistical analysis, data processing, and feature engineering. Experience of working in a Consultancy and being client-facing is beneficial Security Clearance is required for this vacancy. Candidates will need to have DV Clearance. Reasonable Adjustments More ❯

Work with world-class researchers and portfolio managers where every model you build has real market impact . Take ownership of the full lifecycle: from messy, high-frequency datasets → feature engineering, training and deployment, live inference. Shape the firm’s ML ecosystem, choosing the right tools and frameworks to deliver performance at scale. Tackle challenges you won’t … low-latency requirements, and models that need to work in the wild, not just in notebooks . What We’re Looking For Strong hands-on experience with machine learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray More ❯

Work with world-class researchers and portfolio managers where every model you build has real market impact . Take ownership of the full lifecycle: from messy, high-frequency datasets → feature engineering, training and deployment, live inference. Shape the firm’s ML ecosystem, choosing the right tools and frameworks to deliver performance at scale. Tackle challenges you won’t … low-latency requirements, and models that need to work in the wild, not just in notebooks . What We’re Looking For Strong hands-on experience with machine learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray 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 ❯

talented, collaborative and enthusiastic group who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on feature engineering and insight generation from new types of data and the development of machine learning models to address critical business challenges in underwriting. What you'll do Develop … and maintain the machine learning models which define our competitive advantage in the financial services market. Explore and evaluate data, using advanced feature generation and categorisation techniques, in order to stay at the forefront of innovation. Analyse tabular and non-tabular data, such as text, logs, or time series, to produce powerful new insights. Consult on complex statistical test … and extract actionable solutions, working cross-functionally to support key business initiatives and drive sustainable growth. What we're looking for A strong understanding of probability, statistics, machine learning, feature extraction and familiarity with large data set manipulation. Experience using deep learning models, particularly for sequential data. Experience working with Open Banking or Credit Bureau data. Experience working with More ❯