1 to 25 of 38 Permanent Amazon Bedrock Jobs in England

Playbook. Joint product contribution & reference architectures — own the assets that lower time-to-first-DBU and unblock deployments: AWS Marketplace QuickLaunch ("Moonwalk+"), Agent Bricks Amazon Bedrock automation, the CloudFormation networking package, the AWS data-exfiltration-protection (DEP) architecture, the remote-S3 strict-residency pattern, and the EMEA cloud … field and to convene a cross‐region SME community. AWS‐specific technical depth — PrivateLink, VPC Lattice, IAM, networking/CloudFormation, AWS Marketplace, Amazon Bedrock, and Glue Unity Catalog federation. At least 3 years of technical pre‐sales/sales‐methodology experience within a consumption business model. Ability ...

Haystack, CrewAI, AutoGen Interoperability & integration: MCP, function/tool calling, structured outputs, API integration, event‐driven and orchestration patterns Cloud AI platforms & model hosting: Amazon Bedrock, Azure OpenAI/AI Foundry, Google Vertex AI, Hugging Face Vector databases & retrieval: Pinecone, Weaviate, Chroma, pgvector, FAISS; embeddings, semantic and hybrid ...

principles, algorithms, frameworks, and training pipelines. Technical Proficiency – programming in Python, TensorFlow, PyTorch or similar; modern LLM/agent frameworks; cloud AI platforms (Amazon Bedrock, Azure OpenAI/AI Foundry, Google Vertex AI); vector databases; containerization and orchestration (Docker, Kubernetes); distributed computing. Architecture Design – end‐to‐end design ...

application performance and reliability. Build and integrate AI-driven features (LLMs, intelligent APIs, automation workflows). Implement RAG patterns, AI pipelines, and model integrations (Bedrock, SageMaker). Optimize and monitor models for accuracy, drift, bias, and observability. Leverage Claude/equivalent frontier models to engineer solutions Notes ...

Databricks Deploy and operate containerised services on Kubernetes using Terraform for infrastructure-as-code Own and scale vector search infrastructure (OpenSearch, Algolia, AWS Bedrock Knowledge Bases) and embedding pipelines Build and maintain CI/CD pipelines for inference services, retrievers, ingestion workflows, and RAG components Implement observability across ...

skills: Demonstrate proficiency in Java and/or Python programming languages Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools ...

Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience ...

Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience ...

Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience ...

Strong experience building cloud‐native applications. Comfortable working with Docker, Kubernetes, CI/CD pipelines, and containerised deployments. Experience with solutions such as AWS Bedrock and AgentCore. Understand how to deploy, monitor, and operate AI services in production. AI Operations & Observability Experience implementing monitoring, tracing, evaluation, and cost optimisation ...

design authority Comfortable working directly with senior client stakeholders Strong mentoring and coaching capability Experience with some of the following technologies or ecosystems: Amazon Bedrock and SageMaker Claude/Anthropic Azure AI Foundry or Azure OpenAI Databricks Vector databases and RAG architectures Agentic AI orchestration frameworks ...

controlled, auditable release processes suitable for banking environments. Cloud‐native AI platform engineering on AWS, with hands‐on delivery using services such as Amazon Bedrock for foundation models, agent orchestration patterns, Lambda and Step Functions, alongside demonstrated Python engineering capability and secure microservices and API design. AI governance ...

permissions, auditability and data protection including private retrieval architectures and ensuring proprietary data is not exposed to external model providers. Hands‐on AWS experience (Bedrock, Neptune, OpenSearch, Lambda) is very important. Strong engineers able to ramp quickly will also be considered. Cost‐aware design of inference and infrastructure spend ...

teaming, model monitoring, content safety, LLMOps, GenAIOps or production support for AI systems Experience with non‐Microsoft AI platforms or services, such as AWS Bedrock, Amazon Q, SageMaker, Google Vertex AI, Anthropic Claude, OpenAI APIs or open‐source model ecosystems Familiarity with ISO 42001, NIST ...

equivalents in Azure or GCP), with hands‐on work across classical ML and modern LLM/RAG systems using services like Amazon SageMaker and Bedrock. What you’ll do Partner with stakeholders across the business to explore high‐impact opportunities. Own the full lifecycle: problem framing, data discovery, feature ...

cost‐efficient. Highly proficient with AWS – VPC, IAM, ELB/WAF, EC2, ECS, EKS, S3, Lambda, Step Functions, Glue, Kinesis, CloudWatch, CloudTrail, SageMaker, Bedrock, OpenSearch, RDS, ElastiCache, SES, KMS and more. Demonstrable experience with containerization technologies (Docker, Kubernetes) and infrastructure as code (IaC) tools such as Terraform, Terragrunt ...

platforms), including secure development, data protection, compliance and enterprise architecture principles. Hands‐on experience integrating LLMs into production, including use of APIs (e.g. OpenAI, Bedrock), prompt orchestration, tool usage and interaction patterns. Expertise in AI system design including state management, memory strategies, evaluation approaches, guardrails, observability and performance optimisation ...

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 ...

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 ...

technical and non-technical stakeholders, grounding explanations in business value and real-world risk.Understanding of cloud-native AI services (e.g., Azure OpenAI, AWS Bedrock, Google Gemini) and how they integrate with enterprise services, security patterns and APIs.Ability to communicate on a Business and Technical level bringing solutions to life ...

controls covering security, compliance, model risk, change management and audit, rather than treating governance as an obstacle.Desired* AWS experience, including AI services such as Bedrock and the Serverless ecosystem, with the ability to work within established cloud frameworks.* Proficiency in front-end technologies, particularly React, with evidence of building ...

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 ...

proven track record managing complex, multi‐stakeholder AI or technology roadmaps across multiple products. Hands‐on experience with Generative AI platforms such as AWS Bedrock, Google Vertex AI, or Gemini, and a demonstrated ability to build prototypes and functional apps using AI‐assisted tools, comfortable with vibe coding. Exceptional ...

DevOps teams. Strong knowledge of scalable microservices, cloud architecture, security, and SaaS best practices. Desirable: AWS certifications. Experience with AI/GenAI technologies (eg Amazon Bedrock). Background in SaaS, ProcureTech, or enterprise software. This is a fully remote opportunity, working with colleagues across the UK, Europe ...

platform engineering Hands-on expertise in CI/CD pipeline design and implementation Experience with Terraform and Infrastructure as Code (IaC) Exposure to AWS Bedrock would be nice to have. 3-4 years of experience in automation and Scripting (Python, Shell, Bash, etc.) Strong understanding of DevOps practices ...