1 to 25 of 32 Remote/Hybrid Amazon Bedrock Jobs in the UK

will work on a variety of projects, including, but not limited to: Building generative AI applications using AWS' suite of AI services, primarily Amazon Bedrock - including foundation model selection, Bedrock Agents and Bedrock Knowledge Bases. Designing and implementing Retrieval-Augmented Generation (RAG) systems Conducting AI assessments … cost. Implementing responsible AI practices, including guardrails, evaluation pipelines, monitoring and human-in-the-loop review. Developing and deploying machine learning models with Amazon SageMaker, and building the MLOps pipelines to support them. Writing Terraform or CloudFormation to template the AWS infrastructure that AI applications run on. Conducting ...

monolithic EC2-centric AWS infrastructure by making use of containers and AWS managed services. Building AI applications using AWS’ suite of AI services including Amazon Bedrock. Using multimodal LLMs to build applications that supercharge existing businesses with AI. Building data processing pipelines on AWS. Writing Terraform or CloudFormation … following: Infrastructure as code (IaC) with Terraform and/or CloudFormation Containerization of Python, NodeJS, PHP and .NET applications using Docker on either Amazon ECS, Amazon EKS or AWS Elastic Beanstalk. Building applications or workloads with Foundational Models such as OpenAI’s GPT or Anthropic Claude, preferably ...

architecture, design, and delivery of enterprise-scale generative AI solutions on AWS. Translate business problems into secure, scalable, production-grade AI systems using Amazon Bedrock, retrieval-augmented generation (RAG), agentic workflows, and cloud-native AWS services. Drive architecture standards, model orchestration, governance, observability, and operational excellence across … home 100% of the time. Your Role: Lead architecture and implementation of GenAI applications using AWS services, especially large language model capabilities such as Amazon Bedrock Define reusable architecture patterns for model customization, prompt orchestration, retrieval pipelines, and agentic workflows Design agentic AI systems incorporating tool use, workflow ...

Development Data Pipeline Engineering Vector Databases such as Pinecone, Weaviate or ChromaDB Cloud & DevOps Experience with at least one major cloud platform: AWS (preferred) Bedrock SageMaker Lambda ECS/EKS S3 Or experience within: Microsoft Azure Google Cloud Platform (GCP) Additional experience with: Docker Kubernetes Git CI/ ...

Development Data Pipeline Engineering Vector Databases such as Pinecone, Weaviate or ChromaDB Cloud & DevOps Experience with at least one major cloud platform: AWS (preferred) Bedrock SageMaker Lambda ECS/EKS S3 Or experience within: Microsoft Azure Google Cloud Platform (GCP) Additional experience with: Docker Kubernetes Git CI/ ...

deploying and scaling AI solutions using at least one major cloud platform: Azure (Foundry, AI Studio, OpenAI, AKS), GCP (Vertex AI, Cloud Run), AWS (Bedrock, SageMaker) Experience building and automating AI/ML pipelines using tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK Hands ...

architecture, mentor engineers, and guide teams through complex technical decisions. Nice to have Experience with any of the following would be beneficial: AWS SageMaker, Bedrock, Lambda, ECS, EKS, Step Functions, EventBridge, CloudWatch, IAM, S3, ECR, or related services. MLflow, model registries, feature stores, model observability, drift detection, and automated ...

work across varied client stacks. Experience with cloud AI services and MLOps/LLMOps (e.g., Azure AI Foundry, AWS SageMaker and/or Bedrock). Strong software engineering practices: Python, APIs, containerisation, CI/CD, IaC, testing, observability and production support. Modern ML/GenAI approaches: feature engineering, model ...

applications that embed AI capabilities* Strong Python experience* Experience with LangGraph, Strands and DeepEval* Strong AWS experience, ideally including Lambda, Fargate/ECS, ECR, Bedrock, S3 and RDS/Postgres* Experience integrating applications via APIs, including REST and async/event-driven patterns* Docker and Kubernetes/EKS experience ...

Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker, Azure AI Search). Soft Skills: Excellent communication and collaboration skills, with the ability to translate complex technical concepts for diverse, cross-functional ...

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 ...

Stack Python TensorFlow/PyTorch LLM frameworks (LangChain, LangGraph, or similar agentic AI tooling) AWS/Azure cloud platforms (including AI services such as Bedrock) Data engineering tools (e.g. AWS Glue or equivalent) NLP, embeddings, vector databases, RAG architectures MLOps tooling for model deployment and monitoring Experience with distributed ...

Skills * Strong Python development experience.* Experience building applications using Large Language Models (LLMs), delivering AI solutions within regulated environments.* Hands-on AWS experience including Bedrock, Lambda, S3, Lex, and CloudWatch.* Experience with prompt engineering and LLM evaluation.* Strong stakeholder management and communication skills. Why Join? * Work on enterprise-scale ...

technical teams in a consulting or professional services setti ng Desirable Experie nceFamiliarity with specific cloud-native AI services such as Azure OpenAI, AWS Bedrock, or Google Gem iniKnowledge of prompt engineering, prompt chaining, and model fine-tuning techniq uesExperience with multi-agent orchestration and advanced vector search implementati ...

Strands, Google ADK, LangGraph, OpenAI Agents SDK). Desirable Skills: Interest in or exposure to risk management or AI governance concepts. Exposure to AWS Bedrock and/or Azure Foundry through projects, coursework, or on-the-job experience. Basic familiarity with Infrastructure as Code (IaC) concepts and tools ...

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 ...

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 ...

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 ...

cost management, token efficiency and responsible consumption of generative AI services. Support analysis across AI platforms and providers such as Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI API, Anthropic, Databricks and Snowflake AI services where relevant. Provide insight into emerging AI pricing models and token-based cost structures ...

have: Experience developing or scaling a FinOps, AI economics or technology value management capability. Exposure to AI platforms such as Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI API, Anthropic, Databricks or Snowflake. Understanding of AI cost drivers including input/output tokens, embeddings, context windows, model routing, retries ...

availability, and security in a regulated environment. Expertise in modern managed AWS platform components – we use Fargate, Lambda, Aurora Postgres, DynamoDB, SageMaker, CloudWatch, and Bedrock, primarily in Go with Python, C, and TypeScript. Strong grounding in modern CI/CD practices (we use GitHub Actions), containers, and distributed systems. ...

user adoption Key Details • Salary: £95,000–£130,000 + stock options • Working: Fully remote UK (4–6 company meetups annually) • Tech: AWS, Bedrock, LLMs, React, Ruby on Rails, Node.js • Sponsorship: Visa transfer only Interested? Please apply below. ...

stakeholders • Proven experience delivering AI solutions into production • Strong Python/software engineering background • Experience with Azure AI Foundry, Azure ML, Databricks, AWS SageMaker, Bedrock, or similar platforms • Strong understanding of MLOps, CI/CD, observability, and production AI delivery • Experience leading engineering teams and mentoring technical professionals • Ability … client in conjunction with this vacancy only. KEY SKILLS AI Consulting, AI Engineering, Stakeholder Management, Python, Azure AI Foundry, Databricks, MLOps, AWS SageMaker, Bedrock, Machine Learning, Cloud, AI Strategy, Technical Leadership ...

autonomously in a new function without an established playbook. Bonus points for Experience with Anthropic Claude (Teams or Enterprise). Familiarity with AWS, particularly Amazon Bedrock. Background in business analysis, change management, or L&D. Experience in regulated sectors. Experience building Skills, Plugins, or reusable AI assets. Interview Process ...

data architecture, including data modelling, warehouses and lakehouses (e.g. delta tables and change management) • Proven experience designing solutions using AI technologies such as OpenAI, Bedrock or Claude • Experience with low-code platforms and document management systems, such as Power Platform and SharePoint • Strong understanding of data governance, operational security ...