126 to 150 of 233 Amazon Bedrock Jobs in the UK

regulated environmentsKnowledge of vector databases and RAG architectures for building internal SRE knowledge assistants. Knowledge of Generative AI and LLM platforms (e.g., Claude, Amazon Bedrock)Person SpecificationStrong technical authority with the ability to influence design and operational decisionsHighly collaborative, comfortable working across architecture, engineering, security, and operations teamsCalm ...

Strong hands‐on experience designing and delivering cloud-based data platforms. Expertise with one or more of the following technologies: AWS (Redshift, Glue, S3, Bedrock) Microsoft Azure (Synapse, Data Factory, Azure SQL) Databricks (Delta Lake, ETL pipelines, ML workloads) Snowflake Strong data modelling experience across enterprise-scale environments. Experience ...

practices. Explore and implement AI-powered features where they provide genuine value to customers. Work with technologies such as OpenAI, Anthropic Claude and AWS Bedrock where appropriate. Help establish good practices around AI-assisted development across the engineering team. Contribute to technical design decisions and help shape the future ...

complex technical concepts to non-technical stakeholders and senior leadership, translating AI capabilities into business language. Desired* AWS 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 ...

consumer-facing agents Some exposure to AI and agentic platforms - such as Google Gemini, OpenAI Agent SDK, LangGraph, n8n, Microsoft Agent Foundry or AWS Bedrock Familiarity with one or more areas of the commerce technology ecosystem: commerce platforms (Salesforce Commerce Cloud, Commercetools, Shopify, BigCommerce), search and merchandising (Algolia, Bloomreach ...

settings.Understanding of enterprise architecture principles, target architectures, and design governance processes in large, regulated organisations.Exposure to AI and developer tooling such as OpenAI, AWS Bedrock, Claude, Llama, Azure AI Foundry, Copilot Studio, GitHub Copilot, or similar ecosystems.Behavioural CompetenciesStrong ownership and accountability for delivery outcomes.Clear, confident communication with both technical ...

technical concepts to non-technical stakeholders and senior leadership, translating AI capabilities into business language. Desired Desired AWS 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 ...

agentic patterns for enterprise workflows. Production ML/LLMOps: Experience with model deployment, monitoring, MLOps/LLMOps, and lifecycle management across cloud services (AWS Bedrock, Azure AI, GCP Vertex AI).AI Architecture & Security: Understanding of cloud reference architectures, identity and access, data governance, privacy, and compliance. Math & Operations Research ...

APIs and LLM services such as OpenAI or Anthropic. Implement components of agentic AI solutions using Schroders’ standardised agentic infrastructure platform based on AWS Bedrock AgentCore, including tool integrations, user journeys, guardrails and evaluation approaches. Work directly with internal customers and colleagues across product, engineering and business teams ...

apart: LLM Integration Experience: Hands-on experience integrating large language models into production applications or developer workflows, whether via APIs (e.g., OpenAI, Anthropic, AWS Bedrock) or open-source models, with a solid understanding of prompt engineering, context management, and evaluation. AI Tooling Advocacy: A track record of introducing ...

success metrics.- Position AI and GenAI as the outcome layer of migration: help customers see how moving to AWS unlocks access to services like Amazon Bedrock, SageMaker, and partner AI technologies (e.g. Anthropic Claude) to drive competitive advantage post-migration.- Own revenue targets across the full transformation lifecycle. … 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 ...

Azure Practical experience designing, automating and supporting cloud infrastructure and services. Experience deploying and operating AI agents or LLM-based services, ideally using Amazon Bedrock, including monitoring, governance, quality assurance and agentic workflows across the software delivery lifecycle. OpenShift Experience building or operating platforms using OpenShift ...

enterprise use cases, including copilots, document intelligence, and intelligent automation integrated with SAP S/4HANA. You will work with Azure OpenAI, AWS Bedrock, LangChain, and similar frameworks, focusing on RAG, embeddings, vector search, and retrieval optimisation, delivering secure, scalable deployments. #J-18808-Ljbffr ...

Recent experience focused on AI, Generative AI or Agentic AI solutions Proven experience delivering production-grade AI solutions on AWS Strong knowledge of AWS Bedrock, Lambda, Step Functions and related services Experience designing AI agents, multi-agent systems and intelligent workflow automation Hands-on experience with RAG architecture ...

more of the following would be particularly relevant: . Anthropic Claude and the wider Claude ecosystem . OpenAI and GPT-based technologies . AWS Bedrock . Google Gemini and associated AI technologies . Enterprise use of open-source large language models . Agentic development frameworks and tooling . ...

more of the following would be particularly relevant: . Anthropic Claude and the wider Claude ecosystem . OpenAI and GPT-based technologies . AWS Bedrock . Google Gemini and associated AI technologies . Enterprise use of open-source large language models . Agentic development frameworks and tooling . ...

large-scale production systems, sufficient to embed within delivery teams and be credible on their stack. Model access and platform routes e.g., AWS Bedrock, Azure OpenAI, AI/MCP Gateways, model routing, authentication, and cost optimisation Structured evaluation of tools or techniques, e.g., defining clear hypotheses, baselines, success criteria ...

getting your fingers on key boards to build them. Strong experience with AWS data services with exposure to AI systems (e.g., AWS DataZone, Bedrock, Redshift, Glue ) and/or Azure data services (e.g., Azure OpenSearch, Azure OpenAI, Fabric, Purview, Data Factory, Synapse ) Proficiency with Python for data processing ...

. Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines). Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI) Strong problem-solving abilities, with the capacity to learn quickly and adapt in a fast-paced environment. Excellent communication and a drive ...

meets Blackstone's enterprise and regulatory requirements. Define APIs and integration points that enable agent workflows, tool access, and system connectivity across Copilot, AWS Bedrock, and embedded applications. Work closely with Platform Engineering, SRE, Security, and Data teams to understand cross-platform pain points and translate them into prioritized ...

controls in production and balancing innovation with risk, safety and regulatory alignment. Cloud Architecture: Strong understanding of AWS cloud architecture for AI workloads (SageMaker, Bedrock, MSK, EKS). Stakeholder Communication: Excellent communication skills, with the ability to present technical decisions clearly to senior business, product or regulatory stakeholders. ...

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 ...

exchanges in the shipping market Our Stack Google Cloud Platform - primarily PaaS services (Bigtable, Cloud SQL, Dataflow, Datastore, GKE, GCS, KMS, Pub/Sub) Amazon Web Services - multi-region, multi-account, with a broad range of managed services Containers and orchestration - Kubernetes (GKE and EKS) Infrastructure-as-Code - Terraform … Kubernetes Operator, PostgreSQL, SQL Server, BigQuery Monitoring and Security - Splunk, Grafana/Grafana Tempo, OpenTelemetry, Cloud Armor Enterprise, OpsGenie, Renovate, Sentry AI Tools - Claude, Amazon Bedrock, Gemini, Vertex AI Key Responsibilities Design, implement, and operate scalable, reliable, and secure infrastructure across Google Cloud Platform and AWS Lead greenfield ...

processes. Excellent communication and stakeholder management skills. Desirable ExperienceExperience with AI Factory implementations and operating models. Knowledge of AWS Cloud services. Experience working with Amazon Bedrock and generative AI services is desirable. Data engineering, data modelling and analytics experience. Experience building scalable enterprise AI platforms. Familiarity with modern ...

need significant recent hands‐on experience using AI tools and techniques to accelerate data architecture and engineering, including technologies such as Claude Code, Codex, Amazon Bedrock or similar. Your experience should ideally cover the following areas and technologies: SQL, dbt, dlt, and data modelling Python, Git, Docker ...