25 of 25 Remote/Hybrid Amazon Bedrock Jobs in England

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 ...

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 ...

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 ...

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. ...

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 ...

performance optimisation Working within complex or regulated environments Youll also need practical exposure to AI or Machine Learning initiatives, including areas such as: AWS Bedrock or similar AI services Generative AI and prompt engineering concepts AI-enabled data products or workflows Supporting ML pipelines or working alongside Data Science … Intelligence Engineer, BI Engineer, Data Engineer, AWS, Glue, Lambda, Redshift, Athena, SQL, Python, Data Lake, Data Platform, Business Intelligence, Analytics, AI, Machine Learning, AWS Bedrock, Generative AI, Data Warehousing, Public Sector, London, Swindon, Hybrid ...

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 ...

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 ...

/ML Exposure (Essential) Candidates must demonstrate practical exposure to AI/ML, such as: Working with cloud-based AI services (e.g. AWS Bedrock or similar) Supporting AI-enabled data products or workflows Understanding generative AI concepts, including prompt engineering Exposure to ML pipelines or collaboration with Data Science … data warehousing, analytics, or data platform development Experience working in complex or regulated environments is beneficial Desirable Experience Knowledge of AWS AI services (e.g. Bedrock) Experience contributing to data lake or modern data platforms Exposure to DataOps/CI-CD practices Experience in the public sector (nice to have ...

ecosystem. As a senior developer you will be stepping into an innovative environment, initially working alongside AI Agents within an AWS framework using Amazon Q, with a strategic roadmap to migrate and scale these capabilities into AWS Bedrock. Key Skills Design and deploy robust Agentic AI solutions … environment. Work intensely with Amazon Q in the immediate term, while actively preparing and executing the migration to AWS Bedrock. Utilise your strong C# background to ensure AI agents integrate seamlessly with core enterprise systems, APIs, and data pipelines. Refine prompt engineering, agent autonomy, and guardrails to ensure high ...

coverage and cost control. You’ll also help define how the platform supports AI, data engineering and high-scale product demand, including where AWS Bedrock and other AI services can be used responsibly in production. The role is about making the platform stronger, simpler and ready for what comes … spend. You have enough exposure to AI/ML platform needs, data engineering and cloud data platforms to guide real architecture decisions. AWS Bedrock or production GenAI experience would be valuable You can operate at senior leadership level while staying close enough to the technology to challenge decisions properly. ...

coverage and cost control. You’ll also help define how the platform supports AI, data engineering and high-scale product demand, including where AWS Bedrock and other AI services can be used responsibly in production. The role is about making the platform stronger, simpler and ready for what comes … spend. You have enough exposure to AI/ML platform needs, data engineering and cloud data platforms to guide real architecture decisions. AWS Bedrock or production GenAI experience would be valuable You can operate at senior leadership level while staying close enough to the technology to challenge decisions properly. ...