1 to 25 of 46 Amazon Bedrock Jobs in the UK

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 ...

cloud environments AI/ML Platform Support: - Support LLM and generative AI deployments including API gateway configuration for models like Azure OpenAI or AWS Bedrock - Manage prompt caching layers, rate limiting, and cost monitoring for AI API consumption - Collaborate with data science and AI teams to translate model requirements ...

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 ...

tuning, RAG, other related methods. MLOps & DevOps: MLflow, TFX, Kubeflow, Docker, Kubernetes, CI/CD terminology and pipelines in GIT, Jira Cloud & Infrastructure: AWS BedRock, SageMaker AI, Azure Machine Learning, GCP Vertex AI, Kubernetes, Terraform Data Engineering: Apache Kafka, Spark, Airflow, Parquet, SQL, NoSQL and graph databases. Optimization & Scheduling ...

Degree in a relevant technical field Tech Environment Python, Java Cloud platforms AWS Containerisation and infrastructure-as-code tools Relational and non-relational databases Amazon Bedrock, Sagemaker, Vertex AI Datadog, Databricks, MLFlow, Grafana, OTel Claude, Gemini, ChatGPT, open-weight LLM models Terraform, Docker, K8s RMDBs, Graph DBs, Vector ...

built for production, not the lab Own the full technical lifecycle: model selection, deployment, MLOps, evaluation, and monitoring Deploy across cloud platforms (AWS Bedrock, Azure AI Foundry, GCP) and self-hosted GPU infrastructure Implement observability, security guardrails, and responsible AI frameworks from day one Lead cross-functional engineering teams ...

tooling. Contributions to open-source AI projects or publications in AI/ML domains. Experience with multi-cloud AI strategies and interoperability with AWS Bedrock or Google Vertex AI. ...

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 ...

from selecting the right model architecture to ensuring robust CI/CD and MLOps pipelines. Deploy and optimise models using cloud services like AWS Bedrock and Azure AI Foundry, or self-host them on GPU/CPU hardware using tools like vLLM, SGLang, and Ollama. Implement frameworks and approaches ...

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 ...

plenty of room to influence standards and tooling as the function matures. Likely technologies and themes include: Python development OpenAI models Anthropic models AWS Bedrock LLM workflows Agentic AI systems Machine learning algorithms API-led microservices Cloud platforms Monitoring, management, and alerting Vulnerability management workflows AI-assisted report generation ...

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 ...

model selection, and performance trade-offs Ability to assess use case viability and business value Cloud & Technology Experience across at least two of: AWS (Bedrock, SageMaker) Azure (Azure ML, Azure OpenAI) GCP (Vertex AI) OpenAI ecosystem Plus: Understanding of data engineering and big data concepts Awareness of cloud security ...

latency optimisation, token cost control, context management, monitoring, guardrails and prompt versioning Exposure to AIOps/MLOps practices and hands-on experience with AWS Bedrock, SageMaker, Vertex AI, or similar cloud AI platforms Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment Nice-to-Haves … systems, including RAGAS, OpenEvals, DeepEval, LangSmith, OpenTelemetry or LLM-as-a-Judge evaluation frameworks Familiarity with graph databases such as Neo4j or Amazon Neptune Experience with recommendation systems, personalisation pipelines or ranking systems Experience building modern web applications using Django, FastAPI, React, or similar frameworks Comfortable using Docker ...

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 ...

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 ...