23 of 23 Amazon Bedrock Jobs in the UK excluding London

data, and engineering teams to translate business outcomes into scalable, secure, and cost-optimised architectures on AWS, accelerating delivery of conversational AI products using Amazon Bedrock, agentic frameworks, and retrieval-augmented generation (RAG) patterns. Key responsibilities: Own the target-state architecture for GenAI products (voice and chat), including … multi-account strategy, landing zone alignment, network patterns, and environment segregation (dev/test/prod). Define reference architectures for Amazon Bedrock, model orchestration, RAG, tool/function calling, and agentic workflows (e.g., LangChain/LangGraph/CrewAI/Strands-style patterns) with clear guardrails. Design enterprise ...

like LangGraph, Semantic Kernel, LangChain, LlamaIndex and AutoGen tool use, function calling, multi-step reasoning and orchestration. Integrating foundation models via Azure OpenAI, AWS Bedrock and open-weight model endpoints (Llama, Mistral, Claude, GPT family). Applying prompt engineering, guardrails, evaluation and observability using tooling such as LangSmith, Langfuse ...

like LangGraph, Semantic Kernel, LangChain, LlamaIndex and AutoGen tool use, function calling, multi-step reasoning and orchestration. Integrating foundation models via Azure OpenAI, AWS Bedrock and open-weight model endpoints (Llama, Mistral, Claude, GPT family). Applying prompt engineering, guardrails, evaluation and observability using tooling such as LangSmith, Langfuse ...

Gateway, EventBridge, SQS, Step Functions Databases: DynamoDB, PostgreSQL, Aurora, MongoDB Frontend: React, TypeScript, MUI DevOps: AWS CDK, Terraform, Docker, GitLab CI, CodePipeline AI: Amazon Bedrock, RAG, LLM integrations Skills Required Commercial software engineering experience Strong AWS cloud/serverless experience Strong backend development skills in TypeScript, Python ...

structure and unlock value from unstructured text Develop semantic and hybrid search solutions (vector + keyword) Work with LLM platforms (e.g. OpenAI, Claude, Bedrock) to create production-ready applications Future State: Shaping Intelligent Products & Strategy Help define how AI becomes embedded in our core product offering Influence product strategy ...

roadmaps, governance forums and technical standards. Partnering with senior engineers, value streams, and product stakeholders. What you'll bring Expertise in Azure AI, AWS Bedrock or Google Vertex. Strong experience with LLM evaluation/MES frameworks. Deep knowledge of integration security, API design and cloud-native patterns. Experience delivering ...

business stakeholders to deliver secure, cost-effective AI solutions on AWS. Key Responsibilities Design and implement production GenAI applications using LLMs (e.g. Anthropic, AWS Bedrock models) Build and deploy RAG systems using vector databases and semantic search Develop agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI … practices Required Skills & Experience 1+ year hands-on experience deploying GenAI/LLM applications into production Experience with AWS services such as Lambda, SageMaker, Bedrock, S3, EC2 and ECS Strong Python development skills with modern AI/ML libraries Practical experience using at least one LLM API Solid understanding ...

business stakeholders to deliver secure, cost-effective AI solutions on AWS. Key Responsibilities Design and implement production GenAI applications using LLMs (e.g. Anthropic, AWS Bedrock models) Build and deploy RAG systems using vector databases and semantic search Develop agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI … practices Required Skills & Experience 1+ year hands-on experience deploying GenAI/LLM applications into production Experience with AWS services such as Lambda, SageMaker, Bedrock, S3, EC2 and ECS Strong Python development skills with modern AI/ML libraries Practical experience using at least one LLM API Solid understanding ...

development frameworks (FastAPI or equivalent). Experience building with Generative AI and agentic frameworks (e.g. LangChain, LangGraph, PydanticAI) and managed AI services (e.g. Bedrock, Azure). Familiarity with enterprise automation toolsets (e.g. Microsoft Power Platform, Copilot Studio) and an understanding of how they complement bespoke AI solutions in large ...

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 ...

technology, or regulated industries Experience leading distributed teams across multiple locations and time zones Knowledge of AI/ML frameworks: LangChain, Anthropic Claude, AWS Bedrock, GitHub Copilot Experience with modern data platforms: Databricks, Snowflake, dbt Background in DevSecOps or platform engineering £120,000 - £130,000 a year Sounds like ...

Familiarity with API development frameworks (FastAPI or equivalent). Experience building with Generative AI frameworks (e.g. LangChain, LangGraph, PydanticAI) and managed AI services (e.g. Bedrock, Azure). ...

data science, machine learning or a related discipline. Experience building with Generative AI frameworks (e.g. LangChain, LangGraph, PydanticAI) and managed AI services (e.g. Bedrock, Azure). Familiarity with agentic orchestration patterns, including multi-agent architectures, tool/function calling, and memory or retrieval augmentation. Familiarity with enterprise automation toolsets ...

collaboratively with product teams across fast moving iterations. Technical requirements: 5+ years in AI/ML engineering Expert with Python/Java Strong AWS, Amazon Bedrock or equivalent Datadog, Databricks, MLFlow LangGraph, LangFuse Claude, Gemini, ChatGP Terraform, Docker, K8 RMDB, Graph, Vector DBs Claude Code Github Company: Established ...

collaboratively with product teams across fast moving iterations. Technical requirements: 5+ years in AI/ML engineering Expert with Python/Java Strong AWS, Amazon Bedrock or equivalent Datadog, Databricks, MLFlow LangGraph, LangFuse Claude, Gemini, ChatGP Terraform, Docker, K8 RMDB, Graph, Vector DBs Claude Code Github Company: Established ...

including security by design, proficiency in Python, experience building with Generative AI and agentic frameworks (e.g. LangChain, LangGraph, PydanticAI) and managed AI services (e.g. Bedrock, Azure), CI/CD pipelines, and demonstrable use of AI-assisted development tools to improve code quality and delivery pace. Desirable criteria Experience working ...

e.g. Claude Code, Cursor, Copilot or similar) Strong ownership mindset and commitment to quality Nice to Have Commercial experience integrating AI APIs (e.g. Claude, Bedrock, OpenAI or similar) Experience with AWS (e.g. EC2, RDS, Lambda, S3) Microservices or distributed systems experience Familiarity with iterative product development methodologies Awareness ...

solutions to effectively scale and maintain the data platform. You will tackle complex data challenges in a fast-paced, exciting environment, leveraging cutting-edge Amazon Web Services (AWS) technologies such as Lambda, SageMaker and Bedrock to develop innovative and scalable data solutions. After a suitable settling in period ...

engineering role focused on applying AI in real systems not training models. Youll work with commercial AI platforms such as Anthropic Claude, AWS Bedrock, and OpenAI to build reliable, scalable, and observable features that ship to users. Youll also play a key role in shaping how AI is adopted … Strong C#/.NET (Core) experience Proven experience designing and shipping AI integrations in production Strong experience integrating paid AI APIs (e.g. OpenAI, Anthropic, Bedrock) Demonstrated ability to set patterns and standards adopted by other engineers Hands-on experience introducing AI-assisted development tools into a team Strong REST ...

ecosystem not building models from scratch. You will design, develop, and deliver production-ready features that rely on services such as Anthropic Claude, AWS Bedrock, and OpenAI. AI-assisted development will be a core part of your workflow, and you will help shape how it is adopted across … experience (MariaDB or MySQL) Focus on quality, resilience, and observability in AI-driven features Nice to Have AWS experience (EC2, RDS, Lambda, S3, Bedrock) Product-level prompt design and iteration practices Experience with structured outputs, tool use, or function calling Frontend exposure (JavaScript, Vue, Nuxt 3) Microservices or distributed ...

Build and scale the "Safety & Trust" engine for our agentic AI ecosystem. You will be the technical lead responsible for ensuring our AWS Bedrock-based agents meet the highest standards of FCA Operational Resilience , DORA , and EU AI Act (Art. 15) compliance. Core Responsibilities Automated Red Teaming: Implement adversarial … uncertainty, hallucination, and bias across all non-deterministic systems. Secure Architecture: Map OWASP LLM Top 10 and agentic threats to technical controls; manage AWS Bedrock Guardrails and Knowledge Bases. AI Supply Chain: Own the AI-BOM , ensuring supply chain integrity, signed artifacts, and drift monitoring. Regulatory Evidence: Produce ...

Build and scale the "Safety & Trust" engine for our agentic AI ecosystem. You will be the technical lead responsible for ensuring our AWS Bedrock-based agents meet the highest standards of FCA Operational Resilience , DORA , and EU AI Act (Art. 15) compliance. Core Responsibilities Automated Red Teaming: Implement adversarial … uncertainty, hallucination, and bias across all non-deterministic systems. Secure Architecture: Map OWASP LLM Top 10 and agentic threats to technical controls; manage AWS Bedrock Guardrails and Knowledge Bases. AI Supply Chain: Own the AI-BOM , ensuring supply chain integrity, signed artifacts, and drift monitoring. Regulatory Evidence: Produce ...

complex, non-deterministic systems. Adversarial Engineering: Translating emerging threats-such as Prompt Injection, Sleeper Agents, and Denial-of-Wallet-into rigorous test cases. AWS Bedrock Mastery: Overseeing the secure model lifecycle, including the configuration of Guardrails, Knowledge Bases (RAG), and Agentic tool-use. Regulatory Stewardship: Mapping the firm … risks of non-deterministic agentic behavior. Mastery of OWASP LLM Top 10 and the NIST AI Risk Management Framework. Hands-on experience securing AWS Bedrock and governing the full AI model lifecycle. Ability to translate "AI Red Teaming" outcomes into high-impact insights for both engineers and executives. London ...