26 to 31 of 31 Amazon S3 Jobs in Scotland

development in an agile team, focusing on document processing and ML automation using Python, AI/ML libraries, and AWS infrastructure including Lambda, S3 and CDK. Strong Python and ML experience are essential for success. #J-18808-Ljbffr ...

strategies for large historical datasets is beneficial. Primary platform Microsoft SQL Server (AWS RDS) — T-SQL, SSMS, stored procedures,execution plans Cloud AWS — RDS, S3, and supporting services for tooling and discovery outputs Estate ~1,100 tables, 15 years of trade data, no archiving strategy, no storedprocedure inventory, duplicated ...

when to be pragmatic. Tech snapshot Primary platform Microsoft SQL Server (AWS RDS) — T‐SQL, SSMS, stored procedures, execution plans Cloud AWS — RDS, S3, and supporting services for tooling and discovery outputs Estate ~1,100 tables, 15 years of trade data, no archiving strategy, no stored procedure inventory, duplicated ...

Your responsibilities Own the overall solution architecture for the Amazon Connect platform, including Voice routing and contact flows, IVR design and call life cycle, Agent experience and operational model Lead and contribute to deep architectural discussions, ensuring solutions follow AWS Well-Architected Framework principles (security, reliability, scalability, performance … implement the solution, sell, deliver cloud contact center solutions to clients. Experience with AWS technologies such as AWS Lambda, Amazon Lex, DynamoDB, S3, Sagemaker, Contact Lens, Transcribe etc. and how they may be leverage alongside Amazon Connect to enhance contact centre performance Well versed with ...

working to the pattern set by the Lead ML Ops Engineer Build and amend feature engineering pipelines, feature store integrations, and data access layers (S3, Glue, Lake Formation) supporting migrated models Implement parity and statistical testing to prove migrated pipelines/models match Databricks outputs Handle data migration/… ProServe counterparts Skills & experience Must-have Python/PySpark - Expert. Production data pipeline development, not analysis-only AWS data/ML stack - Advanced. S3, Glue and/or EMR, IAM basics; AWS ML stack SageMaker (Pipelines, Feature Store, Endpoints) SQL — Advanced strongly preferred. ML pipeline experience. Pipelines feeding model ...

agents across client platforms Architect and implement RAG pipelines using Amazon Bedrock Knowledge Bases, managing vector stores, embeddings, and document ingestion from S3 and other sources Apply the A2A (Agent-to-Agent) protocol to enable interoperability between agents across systems and workflows Instrument AI systems with observability … compliance requirements Integrate LLMs into client applications through prompt engineering, context management, and function/tool calling patterns Leverage serverless infrastructure — AWS Lambda, DynamoDB, S3 — to build scalable, cost-efficient backends for AI workloads Collaborate with client engineering and product teams to translate requirements into agent architectures, contributing ...