1 to 25 of 165 Amazon Bedrock Jobs in England

role in developing the underlying AWS environment, with an initial focus on federated identity and consolidating existing integrations into core AWS technologies, including Amazon Bedrock and Bedrock AgentCore. Operating within a highly regulated environment, you'll combine hands-on engineering expertise with strong technical judgement to ensure … technologies. Working with solution architects and technical Business Analysts to translate requirements into implementable and auditable solutions. Supporting the integration and use of Amazon Bedrock and Bedrock AgentCore. Ensuring solutions meet appropriate risk, assurance and design controls. Making informed technical decisions across a complex and evolving cloud ...

through enterprise review, and make evidence-based build-vs-buy and model decisions Deliver a model gateway and access layer. Provide governed access to Amazon Bedrock and other approved models, covering routing, fallback, caching, rate limits, cost tracking and access control Establish retrieval (RAG) as a platform service … Experience embedding AI workflows into existing applications in production, giving you a strong sense of what teams need from a platform Practical experience with Amazon Bedrock and the wider AWS AI and platform stack (for example Bedrock Agents or AgentCore, Knowledge Bases, Guardrails, OpenSearch or pgvector, Lambda ...

mentoring engineers and collaborating across cross-functional teams. Desirable Experience Experience with any of the following would be highly advantageous: Large Language Models (LLMs) Amazon Bedrock Azure AI Foundry PyTorch FastAPI Knowledge Graphs Kubernetes Docker Infrastructure as Code MLOps Event-Driven Architecture Vector Databases Retrieval-Augmented Generation … Technology Stack Python SQL FastAPI PyTorch Docker Kubernetes AWS Azure Git CI/CD Knowledge Graphs AI/Large Language Models (LLMs) Amazon Bedrock Azure AI Foundry What's on Offer £65,000 - £75,000 salary Remote-first role with flexibility to work anywhere in the UK Optional ...

Take AI features from prototype through to secure, reliable production deployment. Design and deploy AI/ML workloads on AWS, using services such as Amazon Bedrock or SageMaker, alongside S3, IAM and Lambda. Assess commercial APIs, hosted models and open-weight alternatives against capability, cost, latency and data … background and a track record of shipping AI/LLM systems into production. Strong hands-on experience deploying AI/ML workloads on AWS. Amazon Bedrock experience would be a significant advantage. Practical experience with RAG, embeddings and processing unstructured data. Confidence designing for security, privacy, tenant isolation ...

GenAI, Global Education Job ID: 10470021 | AWS EMEA SARL (UK Branch) - F93 Would you like to be part of a mission-driven team at Amazon Web Services (AWS) that is helping the world's education customers innovate with generative AI? Do you have the business acumen, technical depth … education industry experience to help EdTech companies, higher education institutions, and ministries of education adopt the leading AI models on AWS? Through Amazon Bedrock, customers access models from leading AI companies such as OpenAI and Anthropic, as well as open-weight models, with the security, governance, and operational ...

Strands Agents, LangGraph or the Claude Agent SDK, and with interoperability standards such as MCP and A2A. Strong cloud-native expertise on AWS, especially Amazon Bedrock and Bedrock AgentCore, alongside SageMaker, Lambda and Step Functions, with CDK or equivalent IaC. Hands-on LLMOps and MLOps experience, including … consumed by multiple product teams, such as internal MCP servers or agent tooling. Experience with vector search at scale, using tools such as OpenSearch, Amazon S3 Vectors or pgvector. Familiarity with AI governance and regulation, and with putting responsible AI practices into day-to-day engineering. An advanced degree ...

deliver production‐ready AI solutions in complex professional environments. Strong consulting, stakeholder engagement, problem‐solving, and technical leadership capabilities. Desirable AWS Tools & Technologies experience: Amazon SageMaker - ML development, training, deployment & MLOps Amazon S3 - Scalable data storage & data lakes AWS Glue - Data integration, ETL & preparation Amazon Redshift & Athena … Data warehousing & serverless analytics Amazon EMR - Big data processing & Spark Amazon Bedrock - Generative AI & foundation models AWS Lambda - Serverless data & AI workflows Amazon QuickSight - BI, dashboards & visualisation Python, SQL, R & PySpark - Data science & analytics As an equal opportunities’ employer, we welcome applications from individuals ...

Evaluation Frameworks. Experience with LangChain, LangGraph, Semantic Kernel, and AutoGen. Hands-on experience with Azure AI Foundry/Azure OpenAI, AWS Bedrock and SageMaker, Google Vertex AI, and hybrid and multi-cloud architectures. Strong programming experience with Python, Java, Scala, TypeScript, and SQL. Experience with Kubernetes, Docker, Terraform, Bicep ...

with an airport (for example London). Willingness to travel for partner workshops and regional programs (approx. 25-35%). Of advantage: familiarity with Amazon Bedrock (AWS Bedrock). Of advantage: experience enabling cloud partners, hyperscalers, systems integrators or partner field organisations. Of advantage: experience building hands ...

tool and function calling, RAG, and at least one production Agentic AI system. Cloud AI platform : deep experience with one of Azure, OpenAI, AWS Bedrock, Claude; Kubernetes and cloud-native deployment. LLMOps & evaluation : CI/CD for AI, automated evals, experiment tracking, observability, model lifecycle management. Responsible AI : governance ...

applications. Agent orchestration, tool calling, RAG, context engineering, vector databases, event-driven integration and human approval workflows. Deployment through Anthropic APIs and/or Amazon Bedrock or Google Cloud Vertex AI, with broader AWS, Google Cloud or Microsoft Azure experience. DevSecOps, containers, infrastructure as code, cloud security, monitoring ...

applications. Agent orchestration, tool calling, RAG, context engineering, vector databases, event‐driven integration and human approval workflows. Deployment through Anthropic APIs and/or Amazon Bedrock or Google Cloud Vertex AI, with broader AWS, Google Cloud or Microsoft Azure experience. DevSecOps, containers, infrastructure as code, cloud security, monitoring ...

frameworks (AutoPrompt, DSPy) and building evaluation suites. Experience with distributed computing, data sharding, and performance optimization. Hands-on with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration. Demonstrated experience in financial services, particularly investment banking operations. #J-18808-Ljbffr ...

governance, model risk management, and regulatory requirements within financial services. Exposure to modern AI‐native platforms and frameworks including Azure AI Foundry, Vertex AI, Bedrock, Databricks, or Palantir. Strong consulting and problem‐solving mindset. Ability to balance strategic architecture with hands‐on technical delivery. Excellent communication and presentation skills. ...

with agentic commerce protocols: MCP, A2A, ACP (OpenAI), UCP (Google) Hyperscaler agentic platforms: Google Vertex AI/Agent Dev Kit, Azure AI Foundry, AWS Bedrock Agents GEO/AEO content architecture: structuring product data for LLM discoverability What’s in it for you: Our Total Rewards consist ...

software engineering excellence through testing, automation, documentation, and continuous improvement. AI-Native Software Development Build production‐grade AI agents and agentic workflows using AWS Bedrock, Anthropic/Claude, LangGraph, CrewAI, or comparable technologies. Apply an AI‐first mindset to software development by incorporating AI‐assisted tools and automation into ...

/RAG toolchains (e.g., LangChain, LlamaIndex, Semantic Kernel) and vector search (e.g., Pinecone, Weaviate, FAISS, Azure AI Search). Hands‐on experience with AWS Bedrock and Sagemaker would be highly desirable Experience with GenAI platforms (e.g., OpenAI API, Anthropic, Gemini, Llama or equivalents). Exposure to big data/ ...

with agentic commerce protocols: MCP, A2A, ACP (OpenAI), UCP (Google) Hyperscaler agentic platforms: Google Vertex AI/Agent Dev Kit, Azure AI Foundry, AWS Bedrock Agents GEO/AEO content architecture: structuring product data for LLM discoverability What’s in it for you: Our Total Rewards consist ...

design experience. Ability to work independently, navigate an unfamiliar estate and make sound technical judgments. Experience with federated identity and complex integrations. Familiarity with Amazon Bedrock and Bedrock AgentCore. Experience working within regulated environments, including risk, assurance and design controls. Strong operational mindset, with experience owning incident ...

design experience. Ability to work independently, navigate an unfamiliar estate and make sound technical judgments. Experience with federated identity and complex integrations. Familiarity with Amazon Bedrock and Bedrock AgentCore. Experience working within regulated environments, including risk, assurance and design controls. Strong operational mindset, with experience owning incident ...

deep passion and desire to engineer and operate the world's largest cloud computing infrastructure to provide a better world for future generations? Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure web services … need exceptionally motivated people who are driven by learning and innovation. AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services ...

enterprise solutionsNice to haveExperience using AI development tools such as Claude Code, OpenAI Codex or GitHub CopilotExposure to Azure AI Search, Azure Application Insights, Amazon Bedrock or other cloud AI servicesFamiliarity with Microsoft 365 Agents SDK, Copilot SDK or enterprise Copilot extensionsKnowledge of AI safety practices, guardrails ...

GenAI/LLM applications in production Strong Python development skills Hands-on experience with LangGraph, LangChain, LlamaIndex, CrewAI or similar Experience with AWS, particularly Bedrock, Lambda, ECS, EKS or SageMaker Strong understanding of RAG, agentic AI and multi-agent architectures Experience with CI/CD, cloud infrastructure and application ...

deploying and scaling AI solutions using at least one major cloud platform: Azure (Foundry, AI Studio, OpenAI, AKS), GCP (Vertex AI, Cloud Run), AWS (Bedrock, SageMaker)* Experience building and automating AI/ML pipelines using tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK* Hands ...

What we need Must have Strong AWS architecture background Hands-on experience building agentic AI/AI agent platforms on AWS Strong knowledge of Amazon Bedrock AgentCore/Bedrock ecosystem Able to define architecture and technical patterns for enterprise-grade agentic solutions Strong understanding of LLMs, agent ...