1 to 25 of 43 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 ...

DOING ────────────────────────────── 🔧 Technical Architecture • Designing end-to-end LLM and RAG systems integrated into complex enterprise workflows • Deploying and optimising models on AWS Bedrock, Azure AI Foundry, and self-hosted GPU infrastructure (vLLM, SGLang, Ollama) • Building robust MLOps/LLMOps pipelines — CI/CD, model monitoring, evaluation frameworks, observability • Making ...

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 ...

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 ...

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 ...

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 ...

compliant implementation. Required Skills & Experience Deep experience architecting and scaling enterprise-grade AI/ML systems . Proven expertise with cloud AI ecosystems (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong command of agent frameworks , vector databases , and LLM orchestration tools . Ability to lead multi-disciplinary teams ...

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 ...

/or TensorFlow. Proven experience building and deploying LLM-based applications using providers such as OpenAI, Anthropic, and open-source models via AWS Bedrock or direct APIs. Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, and Strands. Strong experience with ML lifecycle platforms such ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 . ...

engineering • Experience with modern AI platform tooling and LLM infrastructure • Knowledge of observability, model lifecycle and AI governance patterns • Familiarity with technologies such as Bedrock, LiteLLM, LangFuse, MCPs or model registries beneficial • Strong stakeholder communication and consultancy-style experience ...

preferred) Knowledge of build/deployment/testing/logging/monitoring tools and frameworks like Maven, Cucumber, Bamboo, GitHub, Claude Code/Bedrock and Splunk. Understanding of investment management domain with strong analytical, problem solving and communication skills. Ability to work well with both business managers and operations ...

typical tools include: Python for experimentation, modelling, and evaluation Weights & Biases (or equivalent) for experiment tracking AWS , including services such as SageMaker and Bedrock Internally supported AI development platforms and tooling This role is not suited to candidates who are dogmatic about specific tools . Adaptability and outcome focus ...

Length: 9 months All candidates must demonstrate: UK FinServ Compliance: Deep familiarity with DORA , FCA Operational Resilience , and the EU AI Act . AWS Bedrock Stack: Hands-on experience with Agents, Knowledge Bases, Guardrails, and model lifecycles. AI/ML Core: Mastery of FMs, RAG, tool ...