51 to 75 of 85 Amazon Bedrock Jobs in the UK excluding London

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 emerging technologies in data engineeringAbility to drive innovation and continuous improvementPassion for mentoring and developing othersEmployer DescriptionJPMorganChase, one of the oldest ...

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 emerging technologies in data engineering Ability to drive innovation and continuous improvement Passion for mentoring and developing others Employer Description ...

engagement skills, with the ability to communicate complex technical concepts to both technical and non-technical audiences. Experience with AI platforms including AW Bedrock, Azure AI Foundry or Google Vertex AI. Why Apply? Competitive salary up to £100,000. Great opportunity to gain exposure to new technologies in Data ...

creating technical documentation and delivering trainingPreferred Skills: Understanding of AI security threats and mitigationExpertise in AI/ML cloud services e.g. Azure OpenAI, AWS Bedrock or Google Cloud AI.Knowledge of core ML concepts e.g. anomaly detectionFamiliarity with technical support environments, SaaS platforms, or complex data systemsExperience working with monitoring ...

security as non-negotiables. Technology mandate Language: Python preferable Frameworks: Agent Development Kits (ADKs) ; e.g. Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore, Microsoft Agent Framework/Semantic Kernel. Framework choice follows the engagement; the discipline is the same. Models: Multi-LLM via the kit (e.g. Claude … Bedrock, Gemini, Azure OpenAI), selected per use case for quality, latency and cost. Interfaces: Tools and Model Context Protocol (MCP) for integration; standards-based APIs and secure auth for client systems. What you'll do Conceptualize fast: embed with stakeholders, frame a business process as an agentic solution ...

security as non-negotiables. Technology mandate Language: Python preferable Frameworks: Agent Development Kits (ADKs) ; e.g. Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore, Microsoft Agent Framework/Semantic Kernel. Framework choice follows the engagement; the discipline is the same. Models: Multi-LLM via the kit (e.g. Claude … Bedrock, Gemini, Azure OpenAI), selected per use case for quality, latency and cost. Interfaces: Tools and Model Context Protocol (MCP) for integration; standards-based APIs and secure auth for client systems. What you'll do Conceptualize fast: embed with stakeholders, frame a business process as an agentic solution ...

prompt engineering Develop Agentic AI systems for automation and orchestration Build and deploy ML models for business use cases Work across AWS services including Bedrock, SageMaker, Lambda and ECS/EKS Lead AI innovation and enterprise transformation projects Collaborate cross-functionally and mentor other engineers What We're Looking … GenAI Strong Python and Java skills Experience with LangChain, LlamaIndex, CrewAI or similar frameworks Knowledge of RAG, vector databases and semantic search AWS expertise (Bedrock and SageMaker preferred) Experience with APIs, microservices and cloud-native architecture Nice to Have AWS certifications (ML or Architect) MLOps, CI/ ...

delivery quality, technical governance boards, and production readiness. Ecosystem Partnerships: Own technical relationships across major cloud AI ecosystems (Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI). Reusable Assets: Drive the creation of reusable accelerators, frameworks, and IP across client engagements. Required Skills and Experience Clearance: Active … guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler AI stacks (AWS Bedrock, Azure AI/OpenAI, Google Vertex AI). AI Governance: Deep knowledge of Responsible AI, risk management, and regulatory frameworks (e.g. ...

delivery quality, technical governance boards, and production readiness. Ecosystem Partnerships: Own technical relationships across major cloud AI ecosystems (Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI). Reusable Assets: Drive the creation of reusable accelerators, frameworks, and IP across client engagements. Required Skills and Experience Clearance: Active … guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler AI stacks (AWS Bedrock, Azure AI/OpenAI, Google Vertex AI). AI Governance: Deep knowledge of Responsible AI, risk management, and regulatory frameworks (e.g. ...

delivery quality, technical governance boards, and production readiness. Ecosystem Partnerships: Own technical relationships across major cloud AI ecosystems (Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI). Reusable Assets: Drive the creation of reusable accelerators, frameworks, and IP across client engagements. Required Skills and Experience Clearance: Active … guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler AI stacks (AWS Bedrock, Azure AI/OpenAI, Google Vertex AI). AI Governance: Deep knowledge of Responsible AI, risk management, and regulatory frameworks (e.g. ...

delivery quality, technical governance boards, and production readiness. Ecosystem Partnerships: Own technical relationships across major cloud AI ecosystems (Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI). Reusable Assets: Drive the creation of reusable accelerators, frameworks, and IP across client engagements. Required Skills and Experience Clearance: Active … guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler AI stacks (AWS Bedrock, Azure AI/OpenAI, Google Vertex AI). AI Governance: Deep knowledge of Responsible AI, risk management, and regulatory frameworks (e.g. ...

delivery quality, technical governance boards, and production readiness. Ecosystem Partnerships: Own technical relationships across major cloud AI ecosystems (Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI). Reusable Assets: Drive the creation of reusable accelerators, frameworks, and IP across client engagements. Required Skills and Experience Clearance: Active … guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler AI stacks (AWS Bedrock, Azure AI/OpenAI, Google Vertex AI). AI Governance: Deep knowledge of Responsible AI, risk management, and regulatory frameworks (e.g. ...

delivery quality, technical governance boards, and production readiness. Ecosystem Partnerships: Own technical relationships across major cloud AI ecosystems (Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI). Reusable Assets: Drive the creation of reusable accelerators, frameworks, and IP across client engagements. Required Skills and Experience Clearance: Active … guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler AI stacks (AWS Bedrock, Azure AI/OpenAI, Google Vertex AI). AI Governance: Deep knowledge of Responsible AI, risk management, and regulatory frameworks (e.g. ...

delivery quality, technical governance boards, and production readiness. Ecosystem Partnerships: Own technical relationships across major cloud AI ecosystems (Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI). Reusable Assets: Drive the creation of reusable accelerators, frameworks, and IP across client engagements. Required Skills and Experience Clearance: Active … guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler AI stacks (AWS Bedrock, Azure AI/OpenAI, Google Vertex AI). AI Governance: Deep knowledge of Responsible AI, risk management, and regulatory frameworks (e.g. ...

delivery quality, technical governance boards, and production readiness. Ecosystem Partnerships: Own technical relationships across major cloud AI ecosystems (Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI). Reusable Assets: Drive the creation of reusable accelerators, frameworks, and IP across client engagements. Required Skills and Experience Clearance: Active … guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler AI stacks (AWS Bedrock, Azure AI/OpenAI, Google Vertex AI). AI Governance: Deep knowledge of Responsible AI, risk management, and regulatory frameworks (e.g. ...

delivery quality, technical governance boards, and production readiness. Ecosystem Partnerships: Own technical relationships across major cloud AI ecosystems (Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI). Reusable Assets: Drive the creation of reusable accelerators, frameworks, and IP across client engagements. Required Skills and Experience Clearance: Active … guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler AI stacks (AWS Bedrock, Azure AI/OpenAI, Google Vertex AI). AI Governance: Deep knowledge of Responsible AI, risk management, and regulatory frameworks (e.g. ...

delivery quality, technical governance boards, and production readiness. Ecosystem Partnerships: Own technical relationships across major cloud AI ecosystems (Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI). Reusable Assets: Drive the creation of reusable accelerators, frameworks, and IP across client engagements. Required Skills and Experience Clearance: Active … guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler AI stacks (AWS Bedrock, Azure AI/OpenAI, Google Vertex AI). AI Governance: Deep knowledge of Responsible AI, risk management, and regulatory frameworks (e.g. ...

delivery quality, technical governance boards, and production readiness. Ecosystem Partnerships: Own technical relationships across major cloud AI ecosystems (Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI). Reusable Assets: Drive the creation of reusable accelerators, frameworks, and IP across client engagements. Required Skills and Experience Clearance: Active … guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler AI stacks (AWS Bedrock, Azure AI/OpenAI, Google Vertex AI). AI Governance: Deep knowledge of Responsible AI, risk management, and regulatory frameworks (e.g. ...

delivery quality, technical governance boards, and production readiness. Ecosystem Partnerships: Own technical relationships across major cloud AI ecosystems (Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI). Reusable Assets: Drive the creation of reusable accelerators, frameworks, and IP across client engagements. Required Skills and Experience Clearance: Active … guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler AI stacks (AWS Bedrock, Azure AI/OpenAI, Google Vertex AI). AI Governance: Deep knowledge of Responsible AI, risk management, and regulatory frameworks (e.g. ...

delivery quality, technical governance boards, and production readiness. Ecosystem Partnerships: Own technical relationships across major cloud AI ecosystems (Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI). Reusable Assets: Drive the creation of reusable accelerators, frameworks, and IP across client engagements. Required Skills and Experience Clearance: Active … guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler AI stacks (AWS Bedrock, Azure AI/OpenAI, Google Vertex AI). AI Governance: Deep knowledge of Responsible AI, risk management, and regulatory frameworks (e.g. ...

delivery quality, technical governance boards, and production readiness. Ecosystem Partnerships: Own technical relationships across major cloud AI ecosystems (Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI). Reusable Assets: Drive the creation of reusable accelerators, frameworks, and IP across client engagements. Required Skills and Experience Clearance: Active … guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler AI stacks (AWS Bedrock, Azure AI/OpenAI, Google Vertex AI). AI Governance: Deep knowledge of Responsible AI, risk management, and regulatory frameworks (e.g. ...

delivery quality, technical governance boards, and production readiness. Ecosystem Partnerships: Own technical relationships across major cloud AI ecosystems (Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI). Reusable Assets: Drive the creation of reusable accelerators, frameworks, and IP across client engagements. Required Skills and Experience Clearance: Active … guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler AI stacks (AWS Bedrock, Azure AI/OpenAI, Google Vertex AI). AI Governance: Deep knowledge of Responsible AI, risk management, and regulatory frameworks (e.g. ...

delivery quality, technical governance boards, and production readiness. Ecosystem Partnerships: Own technical relationships across major cloud AI ecosystems (Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI). Reusable Assets: Drive the creation of reusable accelerators, frameworks, and IP across client engagements. Required Skills and Experience Clearance: Active … guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler AI stacks (AWS Bedrock, Azure AI/OpenAI, Google Vertex AI). AI Governance: Deep knowledge of Responsible AI, risk management, and regulatory frameworks (e.g. ...

delivery quality, technical governance boards, and production readiness. Ecosystem Partnerships: Own technical relationships across major cloud AI ecosystems (Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI). Reusable Assets: Drive the creation of reusable accelerators, frameworks, and IP across client engagements. Required Skills and Experience Clearance: Active … guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler AI stacks (AWS Bedrock, Azure AI/OpenAI, Google Vertex AI). AI Governance: Deep knowledge of Responsible AI, risk management, and regulatory frameworks (e.g. ...

present complex information through clear and compelling data visualisations, ideally using Tableau Experience of cloud-based data science technologies, ideally including AWS SageMaker, AWS Bedrock and Snowflake , would be highly desirable A passion for continuous learning and staying up to date with emerging data science tools, technologies and practices ...