4 of 4 MLOps Jobs in Edinburgh

Senior ML Engineer

Location
City of Edinburgh, Scotland, United Kingdom
preparation, feature engineering, and feature stores, and understand why reproducibility and point-in-time correctness matter more than they first appear Have worked with MLOps in practice rather than in principle: model versioning and registries, experiment tracking, automated retraining, and monitoring for drift and model degradation (MLflow, SageMaker, Databricks ...

Senior ML Data Engineer — Production Pipelines & MLOps

Location
City of Edinburgh, Scotland, United Kingdom
CreateFuture seeks a Senior Data Engineer with an ML focus to own data and feature pipelines for production ML systems. You will collaborate with data scientists and ML engineers, mentor junior engineers, and elevate engineering ...

Data Science & AI Graduate Scheme - Edinburgh

Location
City of Edinburgh, Scotland, United Kingdom
generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation , creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling … machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering,customisationand integration Generative and Agentic AI MLOps& cloud computing It’sall live lectures, tutor-led groupworkand real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan ...

Technical Delivery Lead (Data & Intelligence Engineering) IRC303383

Location
City of Edinburgh, Scotland, United Kingdom
. You will bridge the gap between complex enterprise data strategies - spanning Cloud Migrations, Data Mesh architectures, Real-time Analytics, and Generative AI/MLOps pipelines - and precise execution across globally distributed engineering pods of 100+ people. The Impact By pairing technical depth with executive gravitas, you will de-risk … Fluency: Deep understanding of modern data stacks (Data Lakehouses, Data Mesh, Real-time Streaming, ETL/ELT pipelines) and AI/ML lifecycle management (MLOps, GenAI integration, Model Governance). Ability to challenge architectural patterns and supervise technical teams without acting as the hands-on architect. Cloud & Platform Mastery: Expertise ...