2 of 2 Remote Generative AI Jobs in Reigate

DescriptionWe are currently looking for a Data Architect to join our forward thinking Data department.You’ll work in a team of data engineers, analytics engineers, data scientists and AI specialists to design and evolve scalable data platforms and modern data products that enable self-service analytics, advanced modelling, and AI-driven decision-making across our insurance … and model data from diverse sources – including warehouses, APIs, marketing platforms, and operational systems – using DBT, Delta Live Tables, and dimensional modelling to deliver consistent, trusted analytics.Enable advanced AI and ML use cases by building pipelines for vector search, retrieval-augmented generation (RAG), feature engineering, and model deployment.Ensure security and governance through robust access controls, including RBAC, SSO … in building and maintaining batch and streaming data pipelines using Kafka, Airflow, or SparkFamiliarity with governance frameworks, access controls (RBAC), and implementation of pseudonymisation and retention policiesExposure to enabling GenAI and ML workloads by preparing model-ready and vector-optimised datasetsDemonstrated capability to collaborate successfully with interested parties in data engineering, analytics, architecture, and business teamsAdvanced SQL skills and a More ❯

are currently looking for a Data Architect to join our forward thinking Data department. You’ll work in a team of data engineers, analytics engineers, data scientists and AI specialists to design and evolve scalable data platforms and modern data products that enable self-service analytics, advanced modelling, and AI-driven decision-making across our insurance … model data from diverse sources – including warehouses, APIs, marketing platforms, and operational systems – using DBT, Delta Live Tables, and dimensional modelling to deliver consistent, trusted analytics. Enable advanced AI and ML use cases by building pipelines for vector search, retrieval-augmented generation (RAG), feature engineering, and model deployment. Ensure security and governance through robust access controls, including RBAC … and maintaining batch and streaming data pipelines using Kafka, Airflow, or Spark Familiarity with governance frameworks, access controls (RBAC), and implementation of pseudonymisation and retention policies Exposure to enabling GenAI and ML workloads by preparing model-ready and vector-optimised datasets Demonstrated capability to collaborate successfully with interested parties in data engineering, analytics, architecture, and business teams Advanced SQL skills More ❯