76 to 100 of 183 Amazon Bedrock Jobs in England

Experience using AI-assisted development tools and integrating large language model or other AI services into applications. Exposure to AWS AI technologies such as Amazon Bedrock and AgentCore, as well as familiarity with agent frameworks such as LangGraph, are a plus. What we offer Press space or enter ...

complex queries, joins, indexing, and query optimization. Desirable Skills: Knowledge of NoSQL databases (MongoDB, DynamoDB) Exposure to Generative AI and LLM integration (OpenAI, Claude, Bedrock) in enterprise applications, including building RAG solutions with embeddings and vector databases. Familiarity with Spring AI or LangChain/LangChain4j, prompt engineering best practices ...

Platform Engineering, DevOps and Cloud Infrastructure experience Proven background building and operating AI platforms within Azure and AWS Experience with Azure AI Foundry, AWS Bedrock and related AI ecosystem services Strong MLOps, DevOps and CI/CD expertise Infrastructure as Code experience using Terraform, Bicep and/or CloudFormation ...

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 ...

Extensive Python (FastAPI/asyncio) or Go/Java skills - building production APIs and microservices AWS and Kubernetes at scale - including EKS, Bedrock, IAM, RDS/Aurora, deployment strategies, and HPA GenAI and Agentic AI technologies - including LangGraph/LangChain or Google ADK, MCP/A2A, RAG pipelines ...

digital pathology, structural biology or other high‐volume scientific data modalities and formats. AWS CDK, Batch, ECS, EKS, S3, RDS or Postgres, Athena, SageMaker, Bedrock, or equivalent services. Scientific workflow and data orchestration frameworks such as Nextflow, Dagster, Airflow or similar. Platform security, privacy or governance controls for sensitive ...

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 ...

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 ...

search, embeddings, knowledge graphs Evals and safety: Inspect AI, Ragas, OpenAI Evals, NeMo Guardrails, red teaming Platform: Kubernetes, sandboxed or cloud dev environments, AWS Bedrock Backend: Django Observability: Datadog, OpenTelemetry Are you ready for a career with us? We want to ensure you have the right tools and environment ...

that Applied AI and data engineering teams build against internally. Own the end-to-end model and prompt lifecycle across Databricks MLflow and AWS Bedrock, including registration, versioning, asset bundles, staged promotion, rollback, and multi-model serving. Design the inference substrate for both real-time and batch AI workloads ...

computer-use and browser automation. Experience with ClearML, Label Studio, PyTorch Lightning, or LangChain. Experience running GPU inference on Kubernetes, AWS (including Bedrock), or GCP. Hands-on experience designing evaluations for vision and/or LLM systems, including baselines, metrics, test sets, and comparisons between versions. Life ...

managers to understand what they need from their data. Advantage Experience building Model Context Protocol servers or tools for AI agents. Experience with Amazon Bedrock or Anthropics Claude models and agent tooling. Experience with semiconductor, photonics or advanced manufacturing data, Manufacturing Execution Systems, statistical process control, yield ...

Mastery of IAM, SSM Parameter Store, and Secrets Manager. Serverless & Integration: Experience with API Gateway, Lambda, SQS, SNS, and DynamoDB. AI Integration: Familiarity with Amazon Bedrock for generative AI infrastructure. Data & Processing Experience in designing ETL/ELT pipelines. Knowledge of managing batch processing jobs at scale. DevOps ...

technical colleagues to understand business problems and deliver iteratively, including explaining system limitations Desirable Experience with managed AI and search services (such as Amazon Bedrock or OpenSearch), and with processing complex PDFs or research documents, including tables. Experience with tracing, monitoring and observability tooling for LLM applications. Experience ...

Experience building integrations, automation and tooling using Python, PowerShell and APIs. Strong systems design and architecture capabilities. Experience working within Azure cloud environments. AWS Bedrock exposure would be advantageous. Ability to communicate technical concepts to both technical and non-technical stakeholders. Previous experience within Financial Services, Asset Management, Investment ...

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 ...

architecture domains:- application, data, cloud ( AWS) and technology with expertise with AI, Gen Ai and ML frameworks (e.g., TensorFlow, PyTorch, AWS Sagemaker, AWS Bedrock, OpenAI). Strong experience of AI services and AI lifecycle and model training* Proficiency in backend and frontend technologies such as .NET Core, Node.js ...

that Applied AI and data engineering teams build against internally. Own the model and prompt lifecycle in your area across Databricks MLflow and AWS Bedrock, including registration, versioning, asset bundles, staged promotion, rollback, and multi-model serving. Build the inference path for real-time and batch AI workloads, including ...

their production systems. Track record taking GenAI POCs from prototype to production‐scale deployments. Experience with hyperscaler AI platforms (Azure AI Foundry, AWS Bedrock/SageMaker, GCP Vertex). Experience building or integrating agentic systems, tool‐use chains, or AI‐native developer toolchains. Why Fireworks? Solve Hard Problems: Tackle ...

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 ...

with AI-specific experience being a bonus: PII handling and understanding of GDPR implications Audit logging Data access controls Platform and tooling Snowflake, AWS, Bedrock, integration patterns, languages, infrastructure as code. Snowflake AWS Cognito AWS S3 AWS Lamda AWS DynamoDB Experience required Azure or Snowflake data warehousing Document ingestion ...

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 ...

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 ...

agent architectures: orchestration, tool use, memory, routing, guardrails and agent-to-agent communication. Production experience with agent frameworks such as LangGraph, Microsoft Foundry, AWS Bedrock, CrewAI, AutoGen, or comparable orchestration tooling, plus MCP or similar protocols. Strong grounding in evaluation, observability and reliability for AI systems: eval suites, tracing ...

forecasting.Production ML/LLMOps at Scale: Extensive experience in designing deployment architectures and dictating reliability standards for production-grade AI across cloud providers (AWS Bedrock, Azure AI, GCP Vertex AI).Software/Data Engineering: Python proficiency, modular API design, creating reusable libraries, advanced SQL, and scalable data integration using ...