4 of 4 Permanent Feature Engineering Jobs in the City of Westminster

cross-functional teams, driving technical deployments, and managing stakeholders. Preferred qualifications: Experience in systems design with the ability to explain model architectures, data analysis, feature engineering, and agent design patterns. Experience in business-aligned evaluation design to define metrics, collect data, and measure a program's effectiveness … impact. Experience in process reimagination, assessing legacy workflows, and designing automated, AI-driven alternatives that enhance operational velocity. Experience in context and spec engineering, systematically structuring data, constraints, and operational guidelines to optimize LLM performance. About the job The Google Cloud Consulting Professional Services team guides customers through ...

Lead the development, implementation, and end-to-end delivery of advanced machine learning models and algorithms to drive market operations initiatives. Partner with AI Engineering teams to ensure robust architecture design and deployment patterns for AI/ML models that align with business needs. Mentor and guide a team … managing the machine learning lifecycle. Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn. Strong understanding of data preprocessing, feature engineering, and evaluation techniques. Experience working with large, complex datasets and applying statistical analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization ...

evaluate, and improve machine learning models and algorithms for Content AI applications. Design and implement end-to-end machine learning solutions, including data preparation, feature engineering, model training, validation, deployment, monitoring, and continuous optimisation. Apply statistical analysis, experimentation, and data-driven decision-making to assess model performance … reliability, latency, drift, and business impact. Evaluate trade-offs between model quality, scalability, latency, and infrastructure cost when developing AI-powered products. Partner with engineering teams to deploy and scale machine learning systems in production. Produce clear technical documentation and share expertise through mentorship, design reviews, and technical leadership. ...

holiday What you'll be doing.... • Building and improving risk pricing models using GLMs and more advanced machine learning techniques • Driving R&D and feature engineering to keep raising the sophistication of the team's models • Monitoring expected loss ratios, risk mix and pricing assumptions, and turning findings ...