76 to 100 of 165 Amazon Bedrock Jobs in England

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 ...

Processing & ETL: Glue, EMR, Athena, CDC/DMS, DataBrew, Kinesis, dbt Data management & metadata: Lake Formation, Glue Data Catalog, SageMaker Catalog/DataZone AI: Bedrock (including AgentCore) and SageMaker AI On Azure, you’re fluent across the core services, for example: Storage & lakehouse: SQL, PostgreSQL, Cosmos, Blob, Data Lake … analytics and decision‐making. AI : You understand how AI is built and deployed in modern data platforms (Databricks, Snowflake) and cloud‐native services like Amazon Bedrock, with enough depth to guide teams and advise clients, spanning LLMs and SLMs, agentic automation, Human in the Loop and MLOps. Data ...

regulated environments Knowledge 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 Specification Strong technical authority with the ability to influence design and operational decisions Highly collaborative, comfortable working across architecture, engineering, security ...

regulated environments Knowledge 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 Specification Strong technical authority with the ability to influence design and operational decisions Highly collaborative, comfortable working across architecture, engineering, security ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

success. AI/ML & GenAI Enablement: Help the customer identify and prioritize high-impact GenAI and AI/ML use cases. Guide exploration of Amazon Bedrock, large language models, RAG architectures, and modern data services to solve complex banking challenges. You will help drive transformation of customers' software … 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 ...

databases (mostly Postgres) Improve CI/CD pipelines on CircleCI and GitHub Agentic AI Build and support infrastructure for agentic AI workloads, including Amazon Bedrock and AgentCore Use agentic coding tools in your own work and help the team adopt them safely Team & standards Carry out thorough infrastructure ...

built is changing and wants to be at the forefront of that change. Experience with technologies or concepts such as OpenAI, Anthropic Claude, Amazon Bedrock, LLM APIs, coding agents, structured outputs, tool calling, RAG, semantic search, model routing or AI evaluation would be highly relevant. However ...

engineers. Experience with RAG, tool calling, LLM orchestration and evaluation frameworks would be particularly relevant, alongside exposure to cloud AI services such as AWS Bedrock, Azure AI Foundry or Google Vertex AI. A background in TypeScript or Python would be useful, although the emphasis is on strong software engineering ...

Python.* Familiarity with popular machine learning libraries and frameworks such as scikit-learn, Hugging Face, PyTorch and TensorFlow.* Experience with MLFlow, AWS SageMaker and Bedrock is preferred.* Familiar with MLOps concept, SQL and PySpark* Experience with feature stores, machine learning models as service, and monitoring dashboards is a plus. ...

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 ...

Degree in computer science, engineering or a related discipline, or equivalent professional experience. Desirable Experience Enterprise model platforms such as Azure AI Foundry, AWS Bedrock or Gemini Enterprise Agent Platform. Agent orchestration frameworks, MCP integrations and AI‐assisted development tools/ADK.dev. SIEM, SOAR, identity governance and enterprise secrets ...

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 ...

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 ...

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 ...

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 ...

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 ...

Artlist enables creators to stay on trend and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content … have Experience securing generative AI or machine learning features in production. Familiarity with AI gateways and model access platforms such as LiteLLM, OpenRouter or Amazon Bedrock, alongside LLM observability tools. Relevant certifications, such as CISSP or GCP/AWS security certifications. If you enjoy combining technical depth with ...