23 of 23 Permanent Amazon Bedrock Jobs in the UK excluding London

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 ...

application performance and reliability. Build and integrate AI-driven features (LLMs, intelligent APIs, automation workflows). Implement RAG patterns, AI pipelines, and model integrations (Bedrock, SageMaker). Optimize and monitor models for accuracy, drift, bias, and observability. Leverage Claude/equivalent frontier models to engineer solutions Notes ...

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 ...

focus on backend and infrastructure tooling. Deep knowledge of AWS services (IAM, KMS, CloudFormation, API Gateway, S3, Lambda, ECS, Glue, Step Functions, MSK, EKS, Bedrock). Experience scaling platforms for AI/ML workloads and integrating generative AI tooling. Understanding of secure software development, cloud cost optimization, and platform ...

workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications ...

workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications ...

workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications ...

systems engineering roles. 4+ hands‐on expertise with AWS and/or Azure and/or GCP, including Azure ML, Azure Foundry, AWS Bedrock, Google Vertex, as well as cloud compute, networking, storage, and security services. Understanding of ML platform operations and governance concepts, including model deployment strategies, lifecycle ...

focus on backend and infrastructure tooling. Deep knowledge of AWS services (IAM, KMS, CloudFormation, API Gateway, S3, Lambda, ECS, Glue, Step Functions, MSK, EKS, Bedrock). Experience scaling platforms for AI/ML workloads and integrating generative AI tooling. Understanding of secure software development, cloud cost optimization, and platform ...

related field Experience across a spectrum of libraries, frameworks and services : such as ML libraries e.g. TensorFlow or PyTorch model servers such as AWS Bedrock MLOps such as ML Flow or Sagemaker agent/AI orchestration such as LangGraph or MCP libraries Strong programming skills, especially in Python (other ...

roadmaps, governance forums and technical standards. Partnering with senior engineers, value streams, and product stakeholders. What you'll bring Expertise in Azure AI, AWS Bedrock or Google Vertex. Strong experience with LLM evaluation/MES frameworks. Deep knowledge of integration security, API design and cloud-native patterns. Experience delivering ...

DevOps teams. Strong knowledge of scalable microservices, cloud architecture, security, and SaaS best practices. Desirable: AWS certifications. Experience with AI/GenAI technologies (e.g. Amazon Bedrock). Background in SaaS, ProcureTech, or enterprise software. This is a fully remote opportunity, working with colleagues across the UK, Europe ...

expertise in SQL and Python being desirable. We're utilising the Data Science tools in the AWS Stack, so a good understanding of Sagemaker, Bedrock, and AWS Cloud Components would be highly desirable. Snowflake is our Central Data Platform, of which some experience would be desirable. Demonstrable experience ...

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 ...

expertise in SQL and Python being desirable. We're utilising the Data Science tools in the AWS Stack, so a good understanding of Sagemaker, Bedrock, and AWS Cloud Components would be highly desirable. Snowflake is our Central Data Platform, of which some experience would be desirable. Demonstrable experience ...

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 ...

complex, high‐value AI sales engagements across Central Government departments and Transport bodies. Develop and execute the GTM strategy for AWS AI services including Amazon Bedrock, Kiro, and Quick Suite. Work with senior government and transport leaders to position AWS as the AI platform of choice for transforming … services. Experience working in or alongside a specialist sales function. Understanding of the regulatory landscape for public sector. Equal‐Opportunity Employer Statement Amazon is an equal‐opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience ...

engagements and mentoring peers. You will build platform engineering, set engineering standards, and contribute to cost-conscious, scalable cloud solutions using GitOps, AWS Bedrock, and modern tooling. #J-18808-Ljbffr ...

engagements and mentoring peers. You will build platform engineering, set engineering standards, and contribute to cost-conscious, scalable cloud solutions using GitOps, AWS Bedrock, and modern tooling. #J-18808-Ljbffr ...

engagements and mentoring peers. You will build platform engineering, set engineering standards, and contribute to cost-conscious, scalable cloud solutions using GitOps, AWS Bedrock, and modern tooling. #J-18808-Ljbffr ...

Agentic AI solutions. Proven experience designing and delivering production-grade Agentic AI solutions on hyperscaler cloud platforms, with AWS experience strongly preferred (e.g., Bedrock, Lambda, Step Functions and related AI services). Hands-on experience implementing AI agents, multi-agent systems, intelligent workflow automation, RAG architectures and AI-powered … agentic frameworks and orchestration technologies such as LangGraph, AutoGen, CrewAI, Agent Development Kit (ADK) or equivalent. Experience with AI engineering platforms including AWS Bedrock, Azure AI Foundry and/or Google Vertex AI. Ability to engage confidently with senior stakeholders, communicate complex AI concepts clearly, and demonstrate business value ...