51 to 75 of 198 Amazon Bedrock Jobs in the UK

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 ...

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 ...

Care Systems, NHS Trusts and the health arm's-length bodies, developing and executing the go-to-market plan for AWS AI services, including Amazon Bedrock, Kiro and Quick Suite, across UK Healthcare. Working with senior clinical, digital and operational leaders, you will position … including knowledge of how Integrated Care Systems, Integrated Care Boards and Trusts buy Familiarity with AWS AI services and health-specific services such as Amazon HealthLake and Amazon Comprehend Medical Experience working in or alongside a specialist or overlay sales function, earning the trust of account teams ...

Code (IaC, Terraform) and containerized application development Familiarity with data storage systems (e.g., Postgres, OpenSearch) and AWS services such as S3, SageMaker, and Bedrock Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps, Large Language Model Operations (LLMOps), Event Driven Systems. #J-18808-Ljbffr ...

data science packages such as PyTorch, TensorFlow, scikit‐learn, NumPy, pandas, SciPy, and statsmodels Experience deploying to AWS, including services such as SageMaker and Bedrock, and operating production large language model and machine learning workloads with attention to cost, latency, performance, security, and scaling Experience integrating human ...

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 ...

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 ...

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‐hosted Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs Build evaluation ...

services. Experience in backend development for AI applications and orchestration of LLMs or multi-agent systems. Experience with Azure OpenAI, Azure AI Foundry, AWS Bedrock, Vertex AI, or similar AI platforms. Experience in prompt engineering and working with multiple AI models. Experience developing proof-of-concepts and successfully scaling ...

services. Experience in backend development for AI applications and orchestration of LLMs or multi-agent systems. Experience with Azure OpenAI, Azure AI Foundry, AWS Bedrock, Vertex AI, or similar AI platforms. Experience in prompt engineering and working with multiple AI models. Experience developing proof-of-concepts and successfully scaling ...

/tool calling, and structured outputs. Strong prompt engineering, evaluation, and LLM guardrail/safety experience. Experience with cloud GenAI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI) and LLMOps tooling. Solid understanding of scalable system design, API design, enterprise integration patterns, and secure handling of sensitive data. Strong ...