1 to 25 of 72 Permanent Amazon Bedrock Jobs in the UK excluding London

intersection of AI engineering and cloud architecture, owning the end-to-end implementation of multi-agent pipelines, knowledge bases, and orchestration frameworks using Amazon Bedrock and its surrounding ecosystem. The right candidate has shipped real AI agents to production — not just prototypes — and brings the rigour … software engineer to a space that often lacks it. Key Responsibilities Design and implement production agentic AI systems on Amazon Bedrock, including multi-agent orchestration, memory management, and tool integration using Amazon Bedrock AgentCore and Strands Agents Build, integrate, and maintain MCP (Model Context Protocol) servers ...

environments.· AWS technologies and services across compute, storage, networking, databases, analytics, integration, security and management.· AI and machine learning services on AWS, including Amazon Bedrock, Amazon SageMaker AI, Amazon Q, Amazon Comprehend, Amazon Transcribe, Amazon Rekognition and related managed AI services.· Generative … governance, feature management, model lifecycle management, MLOps, observability and secure deployment of AI workloads.· Container technologies such as Docker and associated orchestration platforms including Amazon EKS, Kubernetes, Amazon ECS and OpenShift.· Infrastructure as code development using Terraform, AWS CloudFormation, AWS CDK and associated configuration management approaches.· Cloud automation ...

environments.· AWS technologies and services across compute, storage, networking, databases, analytics, integration, security and management.· AI and machine learning services on AWS, including Amazon Bedrock, Amazon SageMaker AI, Amazon Q, Amazon Comprehend, Amazon Transcribe, Amazon Rekognition and related managed AI services.· Generative … governance, feature management, model lifecycle management, MLOps, observability and secure deployment of AI workloads.· Container technologies such as Docker and associated orchestration platforms including Amazon EKS, Kubernetes, Amazon ECS and OpenShift.· Infrastructure as code development using Terraform, AWS CloudFormation, AWS CDK and associated configuration management approaches.· Cloud automation ...

environments.· AWS technologies and services across compute, storage, networking, databases, analytics, integration, security and management.· AI and machine learning services on AWS, including Amazon Bedrock, Amazon SageMaker AI, Amazon Q, Amazon Comprehend, Amazon Transcribe, Amazon Rekognition and related managed AI services.· Generative … governance, feature management, model lifecycle management, MLOps, observability and secure deployment of AI workloads.· Container technologies such as Docker and associated orchestration platforms including Amazon EKS, Kubernetes, Amazon ECS and OpenShift.· Infrastructure as code development using Terraform, AWS CloudFormation, AWS CDK and associated configuration management approaches.· Cloud automation ...

trusted relationships with C-level stakeholders, driving steering committee discussions and aligning AI investments with enterprise goals. GenAI Industrialization: Lead the enterprise rollout of Amazon Bedrock and AgentCore, defining operating models, deployment frameworks, and best practices. Program Governance: Own the financial health, risk mitigation, and delivery success … regulatory frameworks required in the financial sector. What You Bring to the Table AWS Expertise: Proven, hands-on strategic experience with AWS Launchpad , Amazon Bedrock , and enterprise Cloud Services. Executive Presence: Extensive experience managing C-suite stakeholders, managing organizational change, and navigating complex corporate governance. Industry Background: Prior ...

senior business leaders and the technical teams building the solutions. What You Will Do Manage the design and rollout of new AI tools using Amazon Bedrock and AWS AgentCore . Run workshops to help the client figure out the best ways to use AI for their business. Keep … Have 8+ years of experience managing large tech, cloud, or consulting projects. Mandatory Tech Skills: Real, hands-on experience with AWS AI services-specifically Amazon Bedrock (RAG, prompt engineering) and AgentCore . Service Management: A strong background in SIAM and ITSM frameworks. Leadership: proven ability to comfortably talk ...

including model hosting, request routing, continuous batching, and KV-cache optimization Deploy, host, and lifecycle-manage open-source and proprietary LLMs on Amazon EKS and Amazon SageMaker, as well as on-prem and local GPU clusters, using reproducible infrastructure as code and continuous delivery pipelines Implement observability (logs … experience operating LLM inference servers such as vLLM and llm-d (or directly equivalent serving stacks) Hands-on experience hosting and serving LLMs on Amazon EKS and/or Amazon SageMaker, and on local GPU infrastructure Knowledge of LLM reliability and risk considerations, including latency/throughput trade ...

selecting the right model architectures to ensuring robust CI/CD and MLOps pipelines.Inference & Infrastructure: Deploy and optimise models using cloud services like AWS Bedrock and Azure AI Foundry, or self-host them on GPU/CPU hardware using tools like vLLM, SGLang, and Ollama.Solution Evaluation: Implement frameworks ...

selecting the right model architectures to ensuring robust CI/CD and MLOps pipelines.Inference & Infrastructure: Deploy and optimise models using cloud services like AWS Bedrock and Azure AI Foundry, or self-host them on GPU/CPU hardware using tools like vLLM, SGLang, and Ollama.Solution Evaluation: Implement frameworks ...

selecting the right model architectures to ensuring robust CI/CD and MLOps pipelines.Inference & Infrastructure: Deploy and optimise models using cloud services like AWS Bedrock and Azure AI Foundry, or self-host them on GPU/CPU hardware using tools like vLLM, SGLang, and Ollama.Solution Evaluation: Implement frameworks ...

selecting the right model architectures to ensuring robust CI/CD and MLOps pipelines.Inference & Infrastructure: Deploy and optimise models using cloud services like AWS Bedrock and Azure AI Foundry, or self-host them on GPU/CPU hardware using tools like vLLM, SGLang, and Ollama.Solution Evaluation: Implement frameworks ...

skills: Demonstrate proficiency in Java and/or Python programming languages Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools ...

judge with its limits understood, regression testing of prompts and agents, metric selection per use case. Cloud: Production delivery on AWS (incl. Bedrock), Azure or GCP, containers, serverless, networking basics, secrets management, IAM. Engineering discipline: Git, code review, testing, CI/CD, IaC (Terraform or equivalent), observability. Strong advantage ...

integrating model serving platforms such as KServe, Ray Serve, or NVIDIA Triton Inference Server alongside other large language model serving stacks Familiarity with Amazon SageMaker JumpStart, SageMaker Endpoints, and Amazon Bedrock for managed model hosting Experience with online large language model quality monitoring, including hallucination detection, toxicity ...

operating or integrating model serving platforms such as KServe, Ray Serve, or NVIDIA Triton Inference Server alongside other large language model serving stacksFamiliarity with Amazon SageMaker JumpStart, SageMaker Endpoints, and Amazon Bedrock for managed model hostingExperience with online large language model quality monitoring, including hallucination detection, toxicity ...

traffic software solutions, including services such as ECS/Fargate, Lambda, API Gateway, Step Functions, CloudFormation and CloudWatch Experience with AWS AI services, particularly Amazon Bedrock Experience with Infrastructure as Code, CI/CD pipelines and DevOps as part of Agile software development Experience with AI driven engineering … tools and techniques e.g. Kiro (Amazon Q Developer), GitHub Copilot, Claude Code, Cursor Ability to ensure alignment with architectural patterns, coding standards and performance Demonstrated ability to partner effectively with other teams including QA, Product, Architecture and Production Support Strong problem solving skills, with the judgement to know when ...

integrating model serving platforms such as KServe, Ray Serve, or NVIDIA Triton Inference Server alongside other large language model serving stacks Familiarity with Amazon SageMaker JumpStart, SageMaker Endpoints, and Amazon Bedrock for managed model hosting Experience with online large language model quality monitoring, including hallucination detection, toxicity ...

practices.Preferred Qualifications, Capabilities, and SkillsExperience building agentic AI systems (multi-step workflows, tool routing, planning, memory patterns, supervision/fallback strategies).Experience with AWS Bedrock and/or SageMaker (or equivalent managed ML/GenAI platforms) and deployment patterns for scalable inference.Experience with evaluation frameworks and approaches (golden datasets ...

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 ...

experienceExperienced in cloud development (AWS), with a focus on application design and development.Experience with AI/ML model integration, Prompt engineering, LLM APIs (OpenAI, Bedrock) and Generative AIProficiency in programming languages such as Java, Python, or Node.js.Strong experience with cloud platforms like AWS, Azure, or Google Cloud Platform. Experience ...

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 ...