26 to 43 of 43 Amazon Bedrock Jobs in the UK

including AWS AI services and the supporting platform services required for production delivery AI engineering experience delivering LLM-enabled systems using LLM APIs/Bedrock, including RAG architectures, vector databases and orchestration frameworks DevOps skills including CI/CD pipelines, containerisation and monitoring/observability, with experience defining release ...

open-source table formats and catalog services such as Apache IcebergExperience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI)Familiarity with emerging technologies in data engineeringAbility to drive innovation and continuous improvementPassion for mentoring and developing othersEmployer DescriptionJPMorganChase, one of the oldest ...

present complex technical concepts to non-technical stakeholders and senior leadership, translating AI capabilities into business language.DesiredAWS experience including AI services such as Bedrock and the Serverless ecosystem.Proficiency in front-end technologies, particularly with React. Evidence of building intuitive, responsive user interfaces that integrate seamlessly with AI-driven back ...

including services such as EC2, Lambda, S3, SNS, SQS and Elastic Beanstalk. - Interest in AI-assisted engineering practices, including tools such as GitHub Copilot, Amazon Bedrock or agentic AI workflows. - Strong communication skills, with the ability to explain technical topics clearly to engineers, product teams and business stakeholders. ...

creating technical documentation and delivering trainingPreferred Skills:Understanding of AI security threats and mitigationExpertise in AI/ML cloud services e.g. Azure OpenAI, AWS Bedrock or Google Cloud AI.Knowledge of core ML concepts e.g. anomaly detectionFamiliarity with technical support environments, SaaS platforms, or complex data systemsExperience working with monitoring ...

jobs, queues, and event streamingTerraform to define infrastructure as codeKubernetes, Lambdas, and Step Functions to run our applicationsAWS as our cloud provider, including AWS Bedrock for LLM accessGitHub Actions for CIYou do not need to be an ML engineer, but you must be comfortable integrating predictive or generative capabilities ...

typical tools include: Python for experimentation, modelling, and evaluation Weights & Biases (or equivalent) for experiment tracking AWS , including services such as SageMaker and Bedrock Internally supported AI development platforms and tooling This role is not suited to candidates who are dogmatic about specific tools . Adaptability and outcome focus ...

touch direction, fast pace. What you'll do Build agents and automations across Microsoft, AWS, Salesforce and Snowflake. Prototype LLM use cases on AWS Bedrock and other platforms, writing and refining prompts, agent instructions and evaluation criteria. Run structured pilots with real users, measuring baseline, result and delta ...

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 ...

pipelines, multi-agent systems or LLM-based products at enterprise scale Deep hands-on experience with at least one major cloud AI platform (AWS Bedrock, GCP Vertex AI or Azure AI Studio) Experience designing eval frameworks, red-teaming processes and quality measurement for AI systems A portfolio or track … Deep practical experience with: Agentic frameworks: LangGraph, LangChain, CrewAI, Agentforce or similar Foundation model providers: Claude Code/Codex/Gemini, OpenAI or AWS Bedrock Vector databases: Pinecone, Weaviate, LlamaIndex or pgvector Cloud platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio CI/ ...

security as non-negotiables. Technology mandate Language: Python preferable Frameworks: Agent Development Kits (ADKs) ; e.g. Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore, Microsoft Agent Framework/Semantic Kernel. Framework choice follows the engagement; the discipline is the same. Models: Multi-LLM via the kit (e.g. Claude … Bedrock, Gemini, Azure OpenAI), selected per use case for quality, latency and cost. Interfaces: Tools and Model Context Protocol (MCP) for integration; standards-based APIs and secure auth for client systems. What you'll do Conceptualize fast: embed with stakeholders, frame a business process as an agentic solution ...

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 ...

/SLOs, dashboards, alerting, and MS Teams integrations—and reduce incidents via telemetry-driven automation and blameless postmortems. Champion AI‐enabled operations using AWS Bedrock/SageMaker and Model Context Protocol (MCP) for log analysis, anomaly detection, incident triage, and workflow orchestration; establish adoption guardrails. Define and enforce cloud … with automated remediation integrated via CSPM tools (e.g., Wiz). Applying AI in CI/CD, observability, and incident response using AWS Bedrock/SageMaker and Model Context Protocol (MCP). Hands-on Agile delivery experience, actively participating in stand-ups and sprint ceremonies. Why Choose Fitch: Hybrid Work ...

/SLOs, dashboards, alerting, and MS Teams integrations—and reduce incidents via telemetry-driven automation and blameless postmortems. Champion AI‐enabled operations using AWS Bedrock/SageMaker and Model Context Protocol (MCP) for log analysis, anomaly detection, incident triage, and workflow orchestration; establish adoption guardrails. Define and enforce cloud … with automated remediation integrated via CSPM tools (e.g., Wiz). Applying AI in CI/CD, observability, and incident response using AWS Bedrock/SageMaker and Model Context Protocol (MCP). Hands-on Agile delivery experience, actively participating in stand-ups and sprint ceremonies. Why Choose Fitch: Hybrid Work ...

Build what's next in applied AI at JPMorganChase - where your work shapes how teams use intelligent systems at scale. You'll lead hands-on engineering for agentic and GenAI capabilities that power the LLM ...

generation of AI-powered products and services What you'll be doing: Build, develop, and deploy AI-powered solutions using AWS services such as Bedrock and SageMaker. Collaborate with cross-functional teams to identify and prioritise business problems suited to AI solutions. Analyse complex data sets to derive insights … applied these technologies to deliver meaningful business outcomes. Essential Criteria: Solid experience in AI and machine learning. Experience working with AWS services, especially Bedrock and Sagemaker. Ability to analyze and interpret large data sets. Proven ability to build, develop, and implement AI models. Excellent communication and documentation skills. Desirable ...

often not yet defined. Build business development pipeline by engaging with key C-suite prospects and partners; accelerate existing deals across Agentic Platform (AgentCore & Bedrock), AI SDLC (Kiro & AI Migrations), and Business Productivity (Quick). Produce industry-specific thought leadership content (POVs, executive briefs, demos) for executive meetings, Executive … your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that ...