6 of 6 Permanent Feature Engineering Jobs in Glasgow

operating the platform, pipelines, infrastructure, and datasets that power enterprise reporting, analytics, and AI/ML across the business.This is a senior hands-on engineering role combining deep technical execution with architectural decision-making. You'll set data and AI engineering standards, driving automation and MLOps practice … work across the full Azure Fabric data stack — from ingestion through to feature-ready datasets that enable analysts, data scientists and AI teams to do their best work. You'll partner with architecture, governance, modelling, and analytics teams to deliver end-to-end data and AI engineering products.What ...

seeking to hire talented AI Engineers(s) within our AI Scaling and Transformation team, which is a centre of excellence in Deloitte's Engineering, AI & Data service offering.You will work alongside clients, third parties, and Deloitte teams from across the Firm, supporting a wide range of international and market … looking for candidates who are able to demonstrate skills and experience in some of the following:EDUCATION & EXPERIENCEDegree or equivalent in Computer Science, Data Engineering, Mathematics, Artificial Intelligence, or a related discipline; advanced degrees are welcome but not essentialStrong technical background, with hands-on experience in developing and deploying ...

your opportunity We are seeking to hire experienced ML Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte’s Engineering, AI & Data service offering.You will work alongside clients, third parties and Deloitte teams across the Firm, supporting Security & Justice organisations to design, build … machine learning frameworks and libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow or equivalent.Experience across the end-to-end ML lifecycle, including data preparation, feature engineering, model development, validation, deployment, monitoring and optimisation.Understanding of MLOps and production ML practices, including CI/CD, model versioning, automated testing, retraining ...

customer experience transformation by applying modern AI architecture in a secure, scalable, and responsible manner. This role collaborates closely with business leaders, product teams, engineering, and third-party partners to ensure data and AI investments deliver measurable value while meeting regulatory, operational, and security requirements.Main Duties/ResponsibilitiesStrategy & Architecture … senior leadership on AI strategy, feasibility and adoption paths.AI ArchitectureDefine architectural patterns and standards to support AI model lifecycle management, AI and data pipelines, feature engineering, and associated design artefacts.Architect and own enterprise-scale Generative AI platforms supporting multiple business use cases, including internal pilots, automation assistants, knowledge ...

consistent reporting, self-service analytics, and AI/ML at scale.This is a hands-on technical role that sits at the intersection of data engineering, business intelligence, and artificial intelligence. You'll work across gold layer models, semantic models and AI-ready data products in Microsoft Azure Fabric … generation (RAG) principles to data product design, enabling AI tools to retrieve accurate, contextualised metric definitions and business logic for queries.Use LLMs and prompt engineering to accelerate model documentation, metric definition drafting, data lineage annotation, and consistency checking across large model libraries.Stay current with how LLM tooling and agentic ...

ensuring high-quality, scalable model delivery across fraud and transaction monitoring use cases. Driveend-to-end model lifecycle ownership — from data exploration and feature engineering to deployment, monitoring, and performance optimisation. Provide hands-on technical leadership, reviewing Python code, model design, distributed computing approaches, and architectural decisions. Manage ...