19 of 19 Amazon Bedrock Jobs in the UK excluding London

data pipelines and ETL processes using state-of-the-art tools. Skilled at architecting and managing secure, scalable AWS environments and working experience in data & analytics services such as Amazon EC2, AWS Lambda, AWS Fargate, Amazon ECS, Amazon EKS, Amazon S3, AWS Glue, Amazon RDS, Amazon DynamoDB, Amazon Aurora, Amazon SageMaker, Amazon Bedrock (including LLM hosting and management). Expertise in workflow orchestration tools such as Apache Airflow. Experience implementing DataOps best practices and tooling, including DataOps.Live. Advanced skills in data storage and management platforms like Snowflake. Ability to deliver insightful analytics via business intelligence tools such as Power BI. Full-stack development experience: backend (Node.js, Python), frontend (ReactJS). … Demonstrated experience designing and implementing Generative AI solutions (chatbots, digital assistants, content generation, etc.). Hands-on implementation and operation of AI/ML models with services like Amazon SageMaker. Advanced proficiency in Python and related AI/ML productivity libraries. Expertise in SQL and NoSQL database technologies. Skills Python AWS Gen AI Job Details Job Title: Technical Lead More ❯

Overview The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer … robust and scalable AI solutions for business problems Interact with customers directly to understand the business problem, assist in the implementation of their ML ecosystem Leverage Foundation Models on Amazon Bedrock and Amazon SageMaker to meet performance needs Analyze large historical data to automate and optimize key processes Communicate clearly with attention to detail, translating rigorous mathematical … CV, GNN, or distributed training Ability to create compelling customer proposals and present to executives; proficient English communication in technical and business settings Preferred Qualifications Experience with AWS services (Amazon SageMaker, Amazon Bedrock, EMR, S3, EC2); AWS Certification (Solutions Architect Associate, ML Engineer Associate) preferred Knowledge of AI/ML, generative AI; hands-on prompt engineering and More ❯

Applied Scientist, Generative AI Innovation Center Job ID: Amazon Web Services Singapore Private Limited Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational … candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most … trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/or similar tools Hands-on experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts Our inclusive culture empowers More ❯

insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI More ❯

insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI More ❯

insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI More ❯

insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI More ❯

and data platforms. Frontend development: Deliver responsive, performant, and accessible user interfaces with React/Next.js. AI integration: Implement and maintain connections to LLMs and ML services (OpenAI, AWS Bedrock, etc.), supporting prompt design, embeddings, and vector database integration. Data engineering: Work with structured and unstructured datasets, build ingestion and transformation pipelines, and design efficient database schemas (Postgres/ More ❯

and data platforms. Frontend development: Deliver responsive, performant, and accessible user interfaces with React/Next.js. AI integration: Implement and maintain connections to LLMs and ML services (OpenAI, AWS Bedrock, etc.), supporting prompt design, embeddings, and vector database integration. Data engineering: Work with structured and unstructured datasets, build ingestion and transformation pipelines, and design efficient database schemas (Postgres/ More ❯

proficiency with hands-on experience in AI/ML frameworks including RAG, LangChain, TensorFlow, and PyTorch Practical experience with Generative AI and exposure to leading LLM platforms (Anthropic, Meta, Amazon , OpenAI) Proficiency with essential data science libraries including Pandas, NumPy, scikit-learn, Plotly/Matplotlib, and Jupyter Notebooks Knowledge of ML-adjacent technologies, including AWS SageMaker and Apache Airflow. … with enthusiasm for MLOps tools and practices Proficiency with version control systems including Git and GitHub Other Technologies You Might Encounter Our services are deployed to AWS, typically using Bedrock, Lambda, ECS and Kubernetes with CloudFormation and CDK for infrastructure configuration Our web products are developed using TypeScript, React, and Redux We implement GraphQL and RESTful APIs using NodeJS More ❯

with AI models and data platforms. Frontend Development: Develop responsive, high-performance user interfaces with React/Next.js. AI Integration: Connect to LLMs and ML services (e.g., OpenAI, AWS Bedrock), supporting prompt engineering, embeddings, and vector databases. Data Engineering: Handle structured and unstructured data, build ingestion pipelines, and design efficient schemas (Postgres/NoSQL). Architecture & Design: Influence technical More ❯

e.g., chatbots, summarization tools, recommendation engines). • Knowledge of application compatibility, security, and performance optimization. • Familiarity with AWS services related to frontend deployment and GenAI model hosting (e.g., SageMaker, Bedrock). Preferred Skills: • Experience with Angular and hybrid frontend architectures. • Exposure to CI/CD pipelines and cloud-native development practices. • Familiarity with GenAI frameworks and libraries (e.g., LangChain More ❯

e.g., chatbots, summarization tools, recommendation engines). • Knowledge of application compatibility, security, and performance optimization. • Familiarity with AWS services related to frontend deployment and GenAI model hosting (e.g., SageMaker, Bedrock). Preferred Skills: • Experience with Angular and hybrid frontend architectures. • Exposure to CI/CD pipelines and cloud-native development practices. • Familiarity with GenAI frameworks and libraries (e.g., LangChain More ❯

e.g., chatbots, summarization tools, recommendation engines). • Knowledge of application compatibility, security, and performance optimization. • Familiarity with AWS services related to frontend deployment and GenAI model hosting (e.g., SageMaker, Bedrock). Preferred Skills: • Experience with Angular and hybrid frontend architectures. • Exposure to CI/CD pipelines and cloud-native development practices. • Familiarity with GenAI frameworks and libraries (e.g., LangChain More ❯

Plan Free breakfast and beverages Requirements Proven experience in .NET Core/C# and modern web frameworks like Angular/TypeScript Hands-on experience with LLM APIs (OpenAI, Claude, Bedrock), LangChain, or RAG-based architectures Deep familiarity with API design, microservices, and cloud-first development (AWS, Azure, or GCP) Experience building systems with MongoDB, SQL, or vector databases like More ❯

governance skillset is niche and spans enterprise architecture, information assurance and applied AI ethics. We welcome applications from people with a wide range of AI technical experience, including AWS Bedrock and Azure AI Foundry and open-source AI/ML stacks. What you need to do now If you're interested in this role, click 'apply now' to forward More ❯

governance skillset is niche and spans enterprise architecture, information assurance and applied AI ethics. We welcome applications from people with a wide range of AI technical experience, including AWS Bedrock and Azure AI Foundry and open-source AI/ML stacks. What you need to do now If you're interested in this role, click 'apply now' to forward More ❯

governance skillset is niche and spans enterprise architecture, information assurance and applied AI ethics. We welcome applications from people with a wide range of AI technical experience, including AWS Bedrock and Azure AI Foundry and open-source AI/ML stacks. What you need to do now If you're interested in this role, click 'apply now' to forward More ❯

to hand yourself in front of a customer who have problems and work out viable solutions - AI or ML experience highly beneficial - Experience with any of the following: AWS Bedrock, Agent2Agent Protocol (A2A), or other agentic AI solutions beneficial If this sounds of interest, please apply for this role. More ❯