15 of 15 Remote Amazon Bedrock Jobs in England

Contribute to prompt design and evaluate prompts results Design and implement MLOps pipelines with best practises in mind Prototype, evaluate, and ship AI features using platforms like Claude or Amazon Bedrock with a focus on production readiness, not just experimentation. Develop evaluation frameworks for testing model output quality, reliability, and alignment with user goals (e.g., hallucination detection, prompt … re a practical AI builder. Not just a theorist. You think in terms of customer value, vs. research or academic novelty. You've worked with Claude and/or Amazon Bedrock (or similar LLM platforms) and understand prompt design, model behavior tuning, and output evaluation. You're comfortable writing code, reviewing PR's, and deliver a reliable, explainable … roles with production responsibility. Proficiency in Python, with experience building and maintaining AI systems, not just analyses. Experience working in Java or TypeScript environments beneficial. Experience with Claude, OpenAI, Bedrock is nice to have or experience with similar LLM platforms required. Familiarity with RAG, Graph-based retrieval, prompt design, and multi-hop reasoning. Experience deploying LLM-powered features into More ❯

modern data science tools/platforms. Strong stakeholder engagement skills and the ability to simplify complex insights into strategic recommendations. Bonus Points For: Experience with AWS AI tools (SageMaker, Bedrock, Lambda). Familiarity with low/no-code platforms. Knowledge of ethical AI frameworks and responsible innovation practices. What Success Looks Like Scalable, high-impact data science solutions delivering More ❯

and libraries. Hands-on experience with cloud technologies and services (e.g., AWS, Azure, Google Cloud) Experience with SQL and/or Snowflake. Some experience with Generative AI technologies (e.g. Bedrock, Langchain, LangGraph). Terms like RAG and Graphs are nothing new for you. Proficiency in data preprocessing and feature and/or prompt engineering. Customer-focused engineer with a More ❯

multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g., AWS Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc. Bachelors degree (masters or higher strongly preferred) in machine learning, computer science, data science, applied mathematics or related technical field More ❯

across multiple teams. • Extensive experience in large scale machine learning, including building, deploying, scaling and securing ML infrastructure in cloud-native environments. • Strong experience with AWS services including SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, DynamoDB, Kafka, CloudFormation and associated technologies such as Python • Proven ability to drive cross functional technical initiatives and deliver results through More ❯

performance, reliability, and alignment. Design and implement memory modules for short-term and long-term agent behaviours. Deploy models and orchestrate AI systems on cloud platforms such as AWS Bedrock, Google Vertex AI, and Azure AI Studio. Integrate semantic search strategies and embeddings to improve LLM relevance and contextual understanding. Build demo-ready user interfaces with tools like Streamlit More ❯

performance, reliability, and alignment. Design and implement memory modules for short-term and long-term agent behaviours. Deploy models and orchestrate AI systems on cloud platforms such as AWS Bedrock, Google Vertex AI, and Azure AI Studio. Integrate semantic search strategies and embeddings to improve LLM relevance and contextual understanding. Build demo-ready user interfaces with tools like Streamlit More ❯

management and organizational skills Preferred Qualifications: Generating Echo handlers and models from OAS using oapi-codegen Launch Darkly Feature Flagging Docker AWS Cloud Services including EKS and RDS AWS Bedrock Knowledgebases and Agents AWS Sagemaker Generative AI Prompt Engineering Additional Information About QAD: QAD Inc. is a leading provider of adaptive, cloud-based enterprise software and services for global More ❯

others and work independently Nice to Have Production experience with any of the following is a plus: GenAI, LLMs, Recommendation Engines, AWS offerings for AI and ML including SageMaker, Bedrock, Lex Knowledge of relevant regulations in AI/ML and incorporating compliance into MLOps processes Bachelor's degree or higher in computer science, engineering, or information systems Veeva's More ❯

complex enterprise environments Experience in all architecture domains:- application, data, cloud ( AWS) and technology with expertise with AI, Gen Ai and ML frameworks (e.g., TensorFlow, PyTorch, AWS Sagemaker, AWS Bedrock, OpenAI). Strong experience of AI services and AI lifecycle and model training Proficiency in backend and frontend technologies such as .NET Core, Node.js, and React; familiarity with microservices More ❯

client workstreams and in the technology department as a whole. Technical skills and knowledge: Cloud hosting providers such as AWS, Azure, GCP, Vercel & Netlify AI platforms such as AWS Bedrock, Microsoft Azure AI, Google Vertex AI AI frameworks such as AutoGen, Langflow Fine-tuned and train AI models Knowledge of Infrastructure as Code, CI/CD Use of Middleware More ❯

production-grade data infrastructure, preferably for ML/AI use cases with 1+ years working with LLM's. Proficiency with AWS data tooling and cloud-native services; experience with Amazon Bedrock or Claude integration is a plus. Experience with vector databases and embedding pipelines. Familiarity with or interest in graph-based data models and Graph RAG architectures is More ❯

with front-end applications (e.g., React, Nuxt, Vue) Collaborate closely with product teams to translate functional requirements into technical solutions Cloud-Native Development: Design and deploy containerized services with Amazon EKS (Elastic Kubernetes Service), focusing on scalability, resilience, and service orchestration Build cloud-native applications using AWS services such as Lambda, API Gateway, DynamoDB, SQS, and EventBridge Develop robust … LLM Enablement: Collaborate with data scientists and ML engineers to integrate AI/LLM capabilities into applications Build and expose intelligent APIs that leverage models from OpenAI, Hugging Face, Bedrock, or custom-trained models Support the lifecycle of AI features-from experimentation and fine-tuning to deployment and monitoring Quality, Security & Scalability: Ensure applications follow best practices for security … applications Strong coding skills in Node.js and Python Solid experience with AWS application services (Lambda, API Gateway, Step Functions, DynamoDB, etc.) Production experience deploying and managing containerized services on Amazon EKS Proven ability to design and build modern, API-driven systems in a scalable resilient cloud-based platform Experience developing or integrating data processing systems (batch or streaming) and More ❯

with front-end applications (e.g., React, Nuxt, Vue) Collaborate closely with product teams to translate functional requirements into technical solutions Cloud-Native Development: Design and deploy containerized services with Amazon EKS (Elastic Kubernetes Service), focusing on scalability, resilience, and service orchestration Build cloud-native applications using AWS services such as Lambda, API Gateway, DynamoDB, SQS, and EventBridge Develop robust … LLM Enablement: Collaborate with data scientists and ML engineers to integrate AI/LLM capabilities into applications Build and expose intelligent APIs that leverage models from OpenAI, Hugging Face, Bedrock, or custom-trained models Support the lifecycle of AI features-from experimentation and fine-tuning to deployment and monitoring Quality, Security & Scalability: Ensure applications follow best practices for security … applications Strong coding skills in Node.js and Python Solid experience with AWS application services (Lambda, API Gateway, Step Functions, DynamoDB, etc.) Production experience deploying and managing containerized services on Amazon EKS Proven ability to design and build modern, API-driven systems in a scalable resilient cloud-based platform Experience developing or integrating data processing systems (batch or streaming) and More ❯

with RAG models, multi-agent systems & more Build robust AI evaluation & monitoring frameworks Mentor, lead & inspire technical team in delivering AI products Experience Required Proven GenAI solution deployment (AWS Bedrock or similar) Deep knowledge of RAG models & agent workflows Experience with GenAIOps, AI security, and responsible AI Leadership skills & a builder's mindset Built and Architected an AI product More ❯