51 to 75 of 173 Amazon Bedrock Jobs in the UK

design authority Comfortable working directly with senior client stakeholders Strong mentoring and coaching capability Experience with some of the following technologies or ecosystems: Amazon Bedrock and SageMaker Claude/Anthropic Azure AI Foundry or Azure OpenAI Databricks Vector databases and RAG architectures Agentic AI orchestration frameworks ...

controlled, auditable release processes suitable for banking environments. Cloud‐native AI platform engineering on AWS, with hands‐on delivery using services such as Amazon Bedrock for foundation models, agent orchestration patterns, Lambda and Step Functions, alongside demonstrated Python engineering capability and secure microservices and API design. AI governance ...

Skills & Experience Proven experience designing and deploying production-grade AI/ML or LLM systems . Expertise with AWS or Azure AI services (e.g., Bedrock, SageMaker, OpenAI, Cognitive Services). Strong Python programming skills with hands‐on experience using frameworks like Autogen and LangGraph . Solid grounding in MLOps ...

ethicsAn understanding of data safety in use of Large Language ModelsKnowledge and experience of either AWS or Azure:AWS (boto3, Bedrock, Sagemaker, Lambda, S3, EC2)Azure (azure Open AI service, Cosmos DB)PythonLangGraphNeo4j/cypherOther coding languages/frameworks e.g. Java/.NetAI RAG (retrieval augmented generation)Graph RAGFew ...

applications on AWS (including serverless patterns and appropriate integration components). Agentic AI & Commerce: Strong understanding of building agentic AI platforms on AWS (e.g., Bedrock, orchestrations, RAG, gateways/MCP) and awareness of emerging Agentic Commerce concepts and standards (ACP, AP2, A2A). Software Engineering & API Design: Strong development ...

open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with AI evaluation and observability practices: evals frameworks, red-teaming, prompt drift detection, and cost/latency monitoring for LLM workloads ...

services, Infrastructure as Code (IaC) and containerized application development Familiarity with relational databases (e.g., Postgres) and AWS services such as S3, EKS, SageMaker, and Bedrock Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps and Large Language Model Operations (LLMOps) Experience working on AIML systems and/or prior experience ...

workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications ...

workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications ...

workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications ...

workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications ...

retrieval‐augmented generation (RAG) patterns Exposure to large language model serving, agentic patterns (tool/function calling, Model Context Protocol), or platforms such as Bedrock or Azure OpenAI Experience with Databricks, MongoDB, or large‐scale extract, transform, and load/data integration workflows Knowledge of data governance, lineage ...

GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hostedDesign and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs Build evaluation pipelines ...

open-source table formats and catalog services such as Apache IcebergExperience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI)Familiarity with AI evaluation and observability practices: evals frameworks, red-teaming, prompt drift detection, and cost/latency monitoring for LLM workloadsUnderstanding ...

content (video, audio) ML pipelines.* Proficiency in Python and common AI/ML libraries (e.g., PyTorch, Hugging Face Transformers, LangChain) and cloud frameworks (VertexAI, Bedrock, Sagemaker).* Strong proficiency in Git, CI/CD workflows, and containerization (Docker/Kubernetes).* Proficiency with Linux environments and cloud platforms (e.g. ...

workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications ...

applications on AWS (including serverless patterns and appropriate integration components). Agentic AI & Commerce: Strong understanding of building agentic AI platforms on AWS (e.g., Bedrock, orchestrations, RAG, gateways/MCP) and awareness of emerging Agentic Commerce concepts and standards (ACP, AP2, A2A). Software Engineering & API Design: Strong development ...

Technology supporting the ETFs business.What you will be doing:AI‐accelerated engineering: institutionalize daily use of AI tools (e.g., GitHub Copilot, Claude, ChatGPT, AWS Bedrock) for coding, tests, documentation, and prototyping; set review standards for AI‐generated code.Design, build, and maintain data engineering workflows and platform services supporting ...

supporting the ETFs business. What you will be doing: AI‐accelerated engineering: institutionalize daily use of AI tools (e.g., GitHub Copilot, Claude, ChatGPT, AWS Bedrock) for coding, tests, documentation, and prototyping; set review standards for AI‐generated code. Design, build, and maintain data engineering workflows and platform services supporting ...

analytical thinking and structured problem-solving capabilities.Ability to translate business requirements into scalable technical solutions.Excellent communication and stakeholder management skills.Nice to HaveExperience with AWS Bedrock or other enterprise AI platforms.Experience with AI engineering tools such as Copilot, Cursor, Claude Code, or similar.Experience with Neo4j, graph databases, or advanced knowledge ...

work closely with AWS technical teams Technical focus You will bring experience across several of the following areas: Generative AI and machine learning, including Bedrock and SageMaker Data and analytics, including Amazon Marketing Cloud and Clean Rooms Customer experience platforms such as Personalize and Connect Modern application development … have Advanced AWS certifications, such as AWS Solutions Architect Professional or Specialty certifications in Machine Learning, Data Analytics or Security. Hands-on experience with Amazon Bedrock, generative AI implementations or broader AI use cases. Familiarity with Amazon Marketing Cloud, advertising technology or marketing technology environments. Previous experience ...

certifications and work closely with AWS technical teamsTechnical focusYou will bring experience across several of the following areas:Generative AI and machine learning, including Bedrock and SageMakerData and analytics, including Amazon Marketing Cloud and Clean RoomsCustomer experience platforms such as Personalize and ConnectModern application development using Lambda, Step … required.Nice to haveAdvanced AWS certifications, such as AWS Solutions Architect Professional or Specialty certifications in Machine Learning, Data Analytics or Security.Hands-on experience with Amazon Bedrock, generative AI implementations or broader AI use cases.Familiarity with Amazon Marketing Cloud, advertising technology or marketing technology environments.Previous experience working ...

seeking a Principal Customer Success Specialist - Gen AI to transform how organizations plan, execute, and operate their businesses through adoption of Amazon Quick and AWS's generative AI platform. This is a senior individual contributor role within the AWS Specialists & Partners (ASP) Customer Success Center of Excellence, requiring … market impact across hundreds of enterprises globally.Key job responsibilitiesStrategic Customer Transformation- Design and lead comprehensive “business execution” transformation strategies for enterprise customers adopting Amazon Quick and AWS Gen AI services, addressing process redesign, organizational capabilities, change management, and value realization through integrated frameworks and executive alignment.Offering Development & Scaling- Build ...

raise the engineering bar, and grow the pod's agentic capability. Must Have Skills python LangGraph Open AI Agents SDK Model Context Protocol (MCP) Amazon Bedrock Large Language Models (LLMs ...

understanding of model capabilities and limitations—not just using AI to generate code. Highly desirable: EdTech or Education experience Java Terraform Kubernetes LangChain, Bedrock, SageMaker or similar GenAI tooling OAuth/JWT This is an excellent opportunity to join a global organisation at the forefront of AI innovation, building ...