6 ai platform engineer jobs found in Remote, greater london

This is a fantastic opportunity to work as an AI Platform Engineer for a major pharmaceutical company, outside IR35, on a remote basis. The key skills required for this AI Platform Engineer role are: AI tools AWS Terraform Python If you do have the relevant experience for this AI Platform Engineer role, please do apply.

This is a fantastic opportunity to work as an AI Platform Engineer for a major pharmaceutical company, outside IR35, on a remote basis. The key skills required for this AI Platform Engineer role are: AI tools AWS Terraform Python If you do have the relevant experience for this AI Platform Engineer role, please do apply.

SC Cleared Data Warehouse Engineer - Outside IR35 - Remote Role Overview We are seeking a skilled Data Warehouse Engineer to design, build, and maintain scalable data warehouse solutions within the Microsoft Azure ecosystem. The role focuses on developing robust data models, optimizing analytical queries, and supporting enterprise reporting through Azure SQL, OLAP technologies, and DAX-powered semantic models. You will collaborate with data engineers, analysts, and business stakeholders to ensure reliable, high-performance data pipelines and analytics platforms. Key Responsibilities Data Warehouse Development Design and develop enterprise data warehouse solutions using Azure SQL Database/Azure SQL Managed Instance/Azure Synapse Analytics. Build and maintain star and snowflake schemas for analytical workloads. Develop ETL/ELT pipelines for ingesting and transforming data from multiple source systems. Implement data partitioning, indexing, and performance...

SC Cleared Data Warehouse Engineer - Outside IR35 - Remote Role Overview We are seeking a skilled Data Warehouse Engineer to design, build, and maintain scalable data warehouse solutions within the Microsoft Azure ecosystem. The role focuses on developing robust data models, optimizing analytical queries, and supporting enterprise reporting through Azure SQL, OLAP technologies, and DAX-powered semantic models. You will collaborate with data engineers, analysts, and business stakeholders to ensure reliable, high-performance data pipelines and analytics platforms. Key Responsibilities Data Warehouse Development Design and develop enterprise data warehouse solutions using Azure SQL Database / Azure SQL Managed Instance / Azure Synapse Analytics. Build and maintain star and snowflake schemas for analytical workloads. Develop ETL/ELT pipelines for ingesting and transforming data from multiple source systems. Implement data partitioning,...

Snowflake Data Engineer - Outside IR35 - Remote About the Role We are seeking a highly skilled Snowflake Data Enginee r to design, build, and optimize scalable data solutions on the Snowflake cloud data platform. You will play a critical role in developing data pipelines, ensuring data integrity, and enabling advanced analytics and Business Intelligence across the organization. This role requires strong expertise in Snowflake Inc . , modern cloud ecosystems, and data warehousing best practices. Key Responsibilities Design, develop, and maintain scalable data pipelines and ELT processes using Snowflake Build and optimize data models (star schema, snowflake schema, dimensional modelling) Implement data ingestion frameworks from structured and unstructured data sources Optimize performance through clustering, partitioning, and query tuning Develop and maintain data quality and validation frameworks Integrate Snowflake with cloud platforms such as Amazon Web...

AI Engineer - Contract (AI Workflows, Outside IR35) Duration: 6 months Rate: Dependent on experience IR35: Outside Location: UK – Remote, 1 day per week onsite in London We’re seeking Multiple AI Engineer's to join a client of ours on a 6-month contract, helping embed AI into business workflows. This role is ideal for someone with hands-on experience in modern AI frameworks and tooling, capable of driving practical AI solutions while maintaining robust governance and technical standards. Responsibilities Design and implement AI-driven solutions to enhance workflows across business functions Collaborate with Data Scientists, Software Engineers, and Product teams to integrate AI models into production systems Build and maintain end-to-end AI pipelines, including training, validation, inference, and monitoring Apply principles of AI governance, compliance, and explainability in model deployment Explore and implement agentic AI, LangChain, LangGraph,...