101 to 125 of 165 Amazon Bedrock Jobs in England

/or Azure, including infrastructure design, automation and operational support. Experience deploying and operating AI agents or LLM-based services, ideally using Amazon Bedrock, with knowledge of monitoring, governance, quality assurance and agentic workflows. Some other highly valued skills may include: Experience with OpenShift or other enterprise Kubernetes ...

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 ...

clients and sectors.ResponsibilitiesSet the technical vision, architecture standards and engineering practices for the AWS practiceLead adoption of AI and GenAI capabilities on AWS, including Bedrock, SageMaker and RAG patternsProvide hands-on technical oversight on complex engagements and ensure quality deliveryEstablish and nurture the AWS partnership through competencies, programs ...

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 ...

driven translation services into enterprise architectures* (Desirable) Experience in development and deployment of generative AI and machine learning systems, with preference for AWS Bedrock and associated AI services* (Desirable) Experience in API management and API marketplace design* (Desirable) Experience working in a multi-cultural international organisation* Language(s): English ...

with one or 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 AI‐assisted software engineering environments ...

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 ...

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. ...

Technical skills and knowledge: Cloud hosting providers such as AWS, Azure, GCP, Vercel & Netlify Cross‐platform AI experience across AWS, Microsoft Azure, Google (e.g. Bedrock, AgentCore, Vertex, Azure ML etc.) Advanced Python programming AI frameworks such as AutoGen, Langflow, Tensorflow Knowledge of Infrastructure as Code, CI/ ...

building with LLMs – e.g. calling model APIs, integrating an agent or tool‐use flow, or shipping a feature on a platform such as AWS Bedrock – and an appetite to go deeper Strong backend experience with Java and Spring Boot, including designing and building microservice architectures with RESTful APIs ...

legacy warehouse or analytics estate migrations to cloud). Exposure to AI-native and lakehouse platforms and services (e.g., Azure AI Foundry, Vertex AI, Bedrock, Databricks) from a data architecture perspective. Relevant cloud or platform certifications (e.g., AWS/Azure/GCP data or architecture certifications). Knowledge ...

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 ...

simpler approach is the better choice. Experience with retrieval, embeddings and working with unstructured text. Hands-on experience with AWS AI services, in particular Amazon Bedrock and SageMaker. Able to lead technically and explain trade-offs to non-technical stakeholders. Desirable Background in life sciences, healthcare or market ...

architecture background with application security and AI/LLM security architecture experience. Practical exposure to platforms such as GCP Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Claude or OpenAI is essential. This is a rare opportunity for someone who wants to remain technically hands-on while becoming ...

architecture background with application security and AI/LLM security architecture experience. Practical exposure to platforms such as GCP Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Claude or OpenAI is essential. This is a rare opportunity for someone who wants to remain technically hands-on while becoming ...

testing and disaster recovery exercises. Making CI/CD faster (GitHub Actions, ArgoCD) and improving developer experience. Running the platform behind AI workloads across Bedrock, Vertex AI and Azure with a focus on reliability and cost. Attending calls with enterprise customers and the commercial team to troubleshoot infrastructure ...

working as part of a high-performing AI team Preferred Qualifications, Capabilities, and Skills: Experience deploying models on AWS platforms such as SageMaker or Bedrock will be strongly considered, but not required PhD level education #J-18808-Ljbffr ...

Experience in building and leading high-performing AI teams Preferred Qualifications, Capabilities, and Skills: Experience deploying models on AWS platforms such as SageMaker or Bedrock will be strongly considered, but not required PhD level education #J-18808-Ljbffr ...

Experience building capability through coaching, mentoring, training, or community leadership. Desirable Experience Software engineering background within complex enterprise environments. Knowledge of Azure OpenAI, AWS Bedrock, AI gateways, model routing, authentication, and cost optimisation. Experience evaluating AI tools and techniques using structured assessment frameworks. Understanding of AI evaluation methodologies, testing ...

. 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 ...

/CD pipelines for both ML and application code. Evaluate and introduce emerging AI frameworks and LLM providers, including OpenAI, Azure OpenAI, Bedrock, LangChain, and LlamaIndex. Maintain Kubernetes‐deployed AI workloads and troubleshoot inference latency, scaling, and reliability issues. Participate in the on‐call rotation and apply AI tooling … calling, RAG pipelines, and agent frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or equivalent. Familiarity with LLM providers and APIs, including Azure OpenAI, AWS Bedrock, OpenAI API, or open‐source models such as Llama and Mistral. Experience with vector databases and embedding workflows, including Chroma, Weaviate, pgvector, Azure ...

React, TypeScript, Material-UI Module Federation (Micro-frontend architecture) Vite, Vitest Python 3.13, FastAPI LangGraph (AI agent orchestration) LlamaIndex (RAG/vector search) AWS Bedrock Infrastructure: AWS (ECS Fargate, Lambda, API Gateway, S3) Terraform, GitHub Actions What We're Looking For Must Have 5+ years of professional software engineering … engineering, or fine-tuning Production AI systems - experience with LLM observability (Langfuse), token management, streaming, and reliability patterns AWS expertise - Lambda, ECS, DynamoDB, OpenSearch, Bedrock, or similar cloud services Streaming architectures - SSE, WebSockets, event-driven systems Fintech/compliance background - AML, sanctions screening, KYC, or regulated industry experience Micro ...

power production-scale AI workloads across media, entertainment, sports, security, and government. We have raised more than $210 million from NEA, Radical Ventures, Amazon, NVIDIA, Snowflake, Databricks, Index Ventures, NAVER Ventures, Korea Investment Partners, Quadrille Capital, Red Bull Ventures, and AI pioneers including Fei-Fei Li, Silvio Savarese … Solutions Architect, Technical Account Manager, or Implementation Engineer. Have experience working with hyperscalers ( AWS preferred, with hands-on experience supporting customers building on Amazon Bedrock ; Azure, GCP, or other cloud providers also welcome). Demonstrate a strong understanding of and experience working with LLMs, multimodal AI, REST APIs ...

architectures that enable trusted, governed, and scalable AI adoption, underpinned by strong data foundations using platforms such as Azure AI Foundry, Databricks, Snowflake, AWS Bedrock, GCP Vertex etc. What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days ...