26 to 50 of 165 Amazon Bedrock Jobs in England

agents into pipelines Strong expertise across Azure and AWS, with a solid understanding of AI-native services: Experience with Azure AI Foundry and Amazon Bedrock Cloud automation experience AI Automation: Experience building and deploying AI agents Infrastructure as Code (IaC): Experience with Terragrunt, Terraform, and Ansible Excellent understanding ...

Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience ...

Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience ...

Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience ...

Software Engineering, Information Technology, Artificial Intelligence, Data Science, or a related technology discipline Minimum 2:1 degree classification (or equivalent) Desirable Azure OpenAI, AWS Bedrock and Google Gemini experience MLOps, Data Engineering or Platform Engineering experience Experience leading technical teams Knowledge of Agentic AI, AI Agents and emerging ...

Software Engineering, Information Technology, Artificial Intelligence, Data Science, or a related technology discipline Minimum 2:1 degree classification (or equivalent) Desirable Azure OpenAI, AWS Bedrock and Google Gemini experience MLOps, Data Engineering or Platform Engineering experience Experience leading technical teams Knowledge of Agentic AI, AI Agents and emerging ...

context design, retrieval-augmented generation, structured output, and handling failure gracefully. Practical experience with at least one major cloud AI platform (Azure AI, AWS Bedrock, or Google Vertex). Solid full stack backend engineering fundamentals — APIs, data pipelines, testing, CI/CD. Most of this job is Strong communication ...

evaluation techniques, and the ability to apply them to real product challenges Experience with agentic AI frameworks and libraries in Python, such as AWS Bedrock AgentCore, LangChain/LangGraph, CrewAI, or the OpenAI Agents SDK, with an understanding of agent design patterns including tool use, orchestration, memory, and multi ...

Experience deploying observable, well‐tested, robust Generative AI applications at scale, including with relevant frameworks (e.g., LangGraph/LangChain, Strands SDK, Anthropic SDK, AWS Bedrock, CrewAI). Experience in machine learning development (training, evaluating, deploying, and monitoring models at scale). Experience with deep learning/NLP frameworks (e.g. ...

delivery accelerators in a consulting or professional services context Hands-on experience with hyperscaler agentic platforms — such as Google Vertex AI Agent Builder, AWS Bedrock Agents, or Azure AI Foundry — and how they are applied in commerce delivery contexts Hands-on experience with AgentOps or LLMOps practices — including production ...

Terraform Migration tooling: AWS MGN, AWS DMS, AWS DataSync, AWS SCT, and AWS MAP framework Data and AI platform: AWS Glue, Kinesis, Lake Formation, Bedrock, SageMaker — for integrated data platform and agentic AI roadmap phases Apply Azure/GCP knowledge to extend solution coverage on multi-cloud or Azure ...

SARL (UK Branch) AWS is seeking a Senior Customer Success Specialist - AI Driven Digital Product Delivery to lead strategic transformation initiatives for organizations adopting Amazon Kiro and AWS's generative AI platform to revolutionize how they build and deliver digital products. This is a senior individual contributor role within … Excellence, requiring a combination of executive-level strategic vision and practical credibility to help customers fundamentally reimagine their software development lifecycle using AI. Amazon Kiro is AWS's AI-powered platform that transforms how organizations build software, from requirements gathering and architecture design to code generation, testing, and deployment. ...

urql. Hands-on experience implementing GraphQL Subscriptions for real-time experiences (WebSockets), including connection lifecycle, reconnection, filtering, authorization, and scale considerations. Practical experience with Amazon CloudFront for content delivery, including cache policies, origin configuration, CloudFront Functions and Lambda@Edge, and performance and cost tuning. Working knowledge … Architect (Associate or Professional) or AWS Certified Developer. Experience with micro-frontends, monorepos (Nx, Turborepo), and design system/component library strategy. Experience with Amazon Cognito or other identity providers, and with API gateways and BFF (Backend for Frontend) patterns. Experience with AWS CDK, CloudFormation Terraform, or other ...

evolving an engineering operating model, ideally an AI-native model built around agentic harnesses and automation. Experience delivering solutions on AWS , ideally with Amazon Bedrock, containers and Infrastructure as Code. A solid grounding in secure-by-default engineering, observability and production operability. Practical knowledge of AI security practices ...

Argo CD and Flux Cloud & Orchestration: AWS, Azure, Docker, Kubernetes AI Inference & Application Infrastructure: Frontier and open-weight models via Anthropic, Azure OpenAI, and Amazon Bedrock; model gateways and routing, retrieval and hybrid search, document ingestion, tool/function calling, Model Context Protocol (MCP), and agent orchestration ...

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 DBsBuild evaluation pipelines: offline ...

Large Language Models LLMs RetrievalAugmented Generation RAG Prompt Engineering and AI AgentsExperience with AI platforms such as Azure OpenAI Microsoft Copilot Studio OpenAI AWS Bedrock Vertex AI or similarProficiency in Python and test automation frameworksExperience with API testing tools such as Postman Rest Assured or similarGood understanding of Machine ...

/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock, AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure blob storage etc. Master's degree or above in Machine learning/data science ...

/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock,AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure blob storage etc. Master's degree or above in Machine learning/data science ...

/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock,AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure blob storage etc. Master's degree or above in Machine learning/data science ...

/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock,AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure blob storage etc. Master's degree or above in Machine learning/data science ...

cycles and business outcomes. Enterprise AI & Hyperscaler Ecosystem Depth: Proven experience designing and delivering AI, GenAI, and Data architectures within platforms such as AWS (Bedrock/SageMaker), Microsoft (Azure AI Foundry/Copilot), Databricks, Google Cloud (Vertex AI), Snowflake, or Palantir. Hands‐On Modern AI & Agentic Builder Experience: Direct ...

engineering: ingestion, cleansing, transformation, embedding, indexing and retrieval pipeline design. Integration across cloud AI services (e.g. GCP + Vertex AI , Vercel AI Cloud, AWS Bedrock, Azure OpenAI) within a broader MACH and API‐led landscape; with preference for GCP and Vercel , or suitable equivalents on AWS and Azure ...

enterprise data platforms would be highly valuable. Practical experience designing, building and deploying AI powered applications using platforms such as Azure AI, OpenAI, AWS Bedrock, Google Vertex AI, Anthropic or comparable technologies. Hands on experience with large language models, prompting, retrieval augmented generation, evaluation and agent orchestration. Strong understanding ...

modern software delivery practices AI Fluency – Experience or familiarity with integrating AI-powered capabilities into software applications, including LLM APIs such as OpenAI, AWS Bedrock, Anthropic, or similar platforms. Understanding of concepts such as prompt engineering, retrieval-augmented generation (RAG), AI agents, and responsible AI practices, with the ability ...