26 to 50 of 128 Amazon Bedrock Jobs in London

modern software delivery practicesAI Fluency – Experience or familiarity with integrating AI-powered capabilities into software applications, including LLM APIs such as OpenAI, AWS Bedrock, Anthropic, or similar platforms. Understanding of concepts such as prompt engineering, retrieval-augmented generation (RAG), AI agents, and responsible AI practices, with the ability ...

Knowledge : Deep understanding of the generative AI ecosystem, including AI orchestration frameworks (e.g., LangChain, Llama Index, Haystack) and cloud provider AI offerings (e.g., AWS Bedrock, Vertex AI, Azure Machine Learning). Data Expertise : Strong foundation in data engineering, data analytics, or data science, with the ability to work effectively ...

systems, incorporating automated evaluations, regression testing, version control and reliable deployment processes. Work with cloud and model platforms such as Azure OpenAI, AWS Bedrock, Google Cloud Vertex AI, OpenAI and Anthropic to design and deliver enterprise-ready solutions. Partner with creative, strategy, UX and technology teams to explore innovative ...

cycles and business outcomes. Enterprise AI & Hyperscaler Ecosystem Depth: Proven experience designing and delivering AI, GenAI, and Data architectures within platforms such as AWS (Bedrock/SageMaker), Microsoft (Azure AI Foundry/Copilot), Databricks, Google Cloud (Vertex AI), Snowflake, or Palantir. Hands‐On Modern AI & Agentic Builder Experience: Direct ...

engineering: ingestion, cleansing, transformation, embedding, indexing and retrieval pipeline design. Integration across cloud AI services (e.g. GCP + Vertex AI , Vercel AI Cloud, AWS Bedrock, Azure OpenAI) within a broader MACH and API‐led landscape; with preference for GCP and Vercel , or suitable equivalents on AWS and Azure ...

delivery accelerators in a consulting or professional services context Hands-on experience with hyperscaler agentic platforms — such as Google Vertex AI Agent Builder, AWS Bedrock Agents, or Azure AI Foundry — and how they are applied in commerce delivery contexts Hands-on experience with AgentOps or LLMOps practices — including production ...

role with strong hands-on expertise. Core skillset is Full Stack architect with React + Java Spring Boot + AWS + GENAI (AWS Bedrock, Strands SDK and Agent core ). Key Responsibilities Customer Engagement & Pre-Sales Act as a trusted technical advisor, leading deep architectural discussions across cloud, data … hands-on expertise in AWS (compute, storage, networking, security, serverless, containers). Proven experience with AWS AI/ML services such as Agent Core, Amazon Bedrock, SageMaker, Comprehend, Textract, and GenAI patterns (RAG, copilots, agents). Strong development experience in Java and/or Python, with frontend exposure ...

Code (IaC, Terraform) and containerized application development Familiarity with data storage systems (e.g., Postgres, OpenSearch) and AWS services such as S3, SageMaker, and Bedrock Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps, Large Language Model Operations (LLMOps), Event Driven Systems. #J-18808-Ljbffr ...

data science packages such as PyTorch, TensorFlow, scikit‐learn, NumPy, pandas, SciPy, and statsmodels Experience deploying to AWS, including services such as SageMaker and Bedrock, and operating production large language model and machine learning workloads with attention to cost, latency, performance, security, and scaling Experience integrating human ...

cycles and business outcomes. Enterprise AI & Hyperscaler Ecosystem Depth: Proven experience designing and delivering AI, GenAI, and Data architectures within platforms such as AWS (Bedrock/SageMaker), Microsoft (Azure AI Foundry/Copilot), Databricks, Google Cloud (Vertex AI), Snowflake, or Palantir. Hands-on Modern AI & Agentic Builder Experience: Direct ...

platforms (Pega, UiPath, Automation Anywhere, ServiceNow, Appian, Microsoft Power Platform) and competing enterprise AI and agent platforms (Microsoft Copilot Studio, Google Vertex AI, AWS Bedrock, IBM watsonx, Palantir AIP, ServiceNow AI Agents). Experience with integrated enterprise applications (Workday, Coupa, Jira, Slack, major warehouse or transportation management systems ...

/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock,AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure blob storage etc. Master's degree or above in Machine learning/data science ...

platforms (Pega, UiPath, Automation Anywhere, ServiceNow, Appian, Microsoft Power Platform) and competing enterprise AI and agent platforms (Microsoft Copilot Studio, Google Vertex AI, AWS Bedrock, IBM watsonx, Palantir AIP, ServiceNow AI Agents). Experience with integrated enterprise applications (Workday, Coupa, Jira, Slack, major warehouse or transportation management systems ...

strong security architecture background combined with genuine AI/LLM security experience. Exposure to technologies such as GCP/Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Anthropic Claude or LangChain/LangGraph would be particularly relevant. This is a cutting-edge opportunity which will shape ...

services, Infrastructure as Code (IaC) and containerized application development Familiarity with relational databases (e.g., Postgres) and AWS services such as S3, EKS, SageMaker, and Bedrock Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps and LLMs #J-18808-Ljbffr ...

services, Infrastructure as Code (IaC) and containerized application development Familiarity with relational databases (e.g., Postgres) and AWS services such as S3, EKS, SageMaker, and Bedrock Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps and Large Language Model Operations (LLMOps) Experience working on AIML systems and/or prior experience ...

Skills & Experience Proven experience designing and deploying production-grade AI/ML or LLM systems . Expertise with AWS or Azure AI services (e.g., Bedrock, SageMaker, OpenAI, Cognitive Services). Strong Python programming skills with hands‐on experience using frameworks like Autogen and LangGraph . Solid grounding in MLOps ...

compliant implementation. Required Skills & Experience Deep experience architecting and scaling enterprise-grade AI/ML systems . Proven expertise with cloud AI ecosystems (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong command of agent frameworks , vector databases , and LLM orchestration tools . Ability to lead multi-disciplinary teams ...

multidisciplinary pod, reviewing supplier work and transferring knowledge. Translating non-technical business requirements from stakeholders into scalable, maintainable, robust solutions. Particularly valuable AWS and Bedrock, or comparable cloud and foundation-model platforms. Extracting and structuring information from unstructured documents using OCR or multimodal foundation models. Agent orchestration, DAG orchestration ...

partner due diligence. Your job is to make compliance boring, predictable, and scalable. Our environment AWS infrastructure (EKS, RDS PostgreSQL, Lambda, ECR, S3, SES, Bedrock for AI/LLM) Kotlin backend with Gradle, Next.js frontend with TypeScript GitHub Actions CI/CD, Terraform for infrastructure, Kubernetes via Tanka/ ...

/tool calling, and structured outputs. Solid prompt engineering, evaluation, and LLM guardrail/safety experience. Experience with cloud GenAI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI) and LLMOps tooling. Good understanding of system design, API design, integration patterns, and secure handling of sensitive data. Working knowledge ...

Zero Trust, infrastructure-as-code, audit experience, and Saviynt, Microsoft or architecture certifications.* Familiarity with agentic platforms and security tooling (Copilot/Agent 365, Bedrock/AgentCore, Claude managed agents, MCP) and non-human/AI identity risks.* Understanding of DevOps and agile; able to review C# code ...

platforms (Pega, UiPath, Automation Anywhere, ServiceNow, Appian, Microsoft Power Platform) and competing enterprise AI and agent platforms (Microsoft Copilot Studio, Google Vertex AI, AWS Bedrock, IBM watsonx, Palantir AIP, ServiceNow AI Agents). Experience with integrated enterprise applications (Workday, Coupa, Jira, Slack, major warehouse or transportation management systems ...

strongly preferred) Production ML engineering excellence – Strong understanding of MLOps, containerization (Docker, Kubernetes/AWS EKS), cloud platforms (AWS/Azure including Bedrock, SageMaker, Azure AI Search), workflow orchestration (Airflow), and API development for ML systems Software development fundamentals – Deep understanding of automated testing, source version control, code optimization ...

providers: hands‐on production work with at least 2 of Anthropic, OpenAI, Google, and open-weight models (direct APIs or via Azure AI Foundry, Bedrock, Vertex); tool use and function calling, structured outputs, context and token management, prompt architecture Agentic systems: designing, hosting, andoperatingautonomous and semi‐autonomous agents ...