11 of 11 Part-Time Amazon Bedrock Jobs in the UK

including model hosting, request routing, continuous batching, and KV-cache optimization \n Deploy, host, and lifecycle-manage open-source and proprietary LLMs on Amazon EKS and Amazon SageMaker, as well as on-prem and local GPU clusters, using reproducible infrastructure as code and continuous delivery pipelines \n Implement … operating LLM inference servers such as vLLM and llm-d (or directly equivalent serving stacks) \n Hands-on experience hosting and serving LLMs on Amazon EKS and/or Amazon SageMaker, and on local GPU infrastructure \n Knowledge of LLM reliability and risk considerations, including latency/throughput ...

Demonstrate proficiency in Java and/or Python programming languages \n Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain \n Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration ...

with new technology in the AI space. \n\n Nice to have: \n \n Direct experience with advanced AI tools and platforms, such as Amazon Bedrock or Google Vertex AI. \n Familiarity with frameworks for building complex, multi-step generative AI applications, like LangGraph. \n Experience with Agent ...

building evaluation suites. \n \n Experience with distributed computing, data sharding, and performance optimization. \n \n Hands-on with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration. \n \n Demonstrated experience in financial services, particularly investment banking operations. \n\n ABOUT US \n J.P. Morgan is a global ...

AutoPrompt, DSPy) and building evaluation suites. \n Hands-on experience with agentic frameworks (LangChain, LangGraph). \n Experience with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration. \n Demonstrated experience in financial services, particularly investment banking operations. \n\n Join us to help shape the future of Market ...

Demonstrate proficiency in Java and/or Python programming languages \n Deploy production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain \n \n Utilize cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/… operate, support, and secure mission-critical applications \n Preferred qualifications, capabilities and skills \n \n Experience with MLOps tools and platforms such as MLflow, Amazon SageMaker, Google VertexAI, Databricks, BentoML, KServe, and Kubeflow \n \n Exposure to cloud-native microservices architecture \n \n Familiarity with advanced AI/ ...

Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks \n Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock \n Identify hidden problems and patterns in data proactively to improve coding standards and system architecture \n Participate in software engineering communities of practice and events … application resiliency, and security \n\n Preferred Qualifications, Capabilities, and Skills \n \n Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock \n Proficiency working with large language models and building agents with LangGraph \n Experience developing, debugging, and maintaining code in a large corporate environment using ...

Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks \n Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock \n Collaborate openly with the team, seek feedback, and apply it to improve outcomes \n\n Required Qualifications, Capabilities, and Skills \n \n Computer science degree … Software Development Life Cycle \n\n Preferred Qualifications, Capabilities, and Skills \n \n Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock \n Proficiency in Python (FastAPI) \n Experience building microservices and APIs \n Experience with elastic compute, NoSQL databases, and messaging queues \n Proficiency working with ...

Python programming skills, including hands-on experience with pandas, scikit-learn, and at least one ML or deep learning framework. \n Working knowledge of Bedrock and other AWS managed services. \n Demonstrable experience building and deploying at least one end-to-end ML model or data pipeline … bias toward shipping: able to make a PoC useful and demonstrable quickly, without over-engineering early-stage solutions. \n Familiarity with AWS Bedrock or other managed AI/LLM platforms (e.g. OpenAI API, Anthropic API) for building and integrating AI-powered features is a strong plus, though AI capability ...

Python programming skills, including hands-on experience with pandas, scikit-learn, and at least one ML or deep learning framework. \n Working knowledge of Bedrock and other AWS managed services. \n Demonstrable experience building and deploying at least one end-to-end ML model or data pipeline … bias toward shipping: able to make a PoC useful and demonstrable quickly, without over-engineering early-stage solutions. \n Familiarity with AWS Bedrock or other managed AI/LLM platforms (e.g. OpenAI API, Anthropic API) for building and integrating AI-powered features is a strong plus, though AI capability ...

generate appropriate responses \n \n Ensure generated results are presented clearly to users as well as the reasoning behind decisions \n \n Integrate AWS Bedrock with our web backend to support LLM‐driven reasoning and workflows \n \n Develop frontend components to surface AI outputs, user prompts, and confirmation … Solid theoretical understanding of machine learning fundamentals, including neural networks and transformer architectures \n \n Experience with cloud‐based AI platforms such as AWS Bedrock is desirable \n \n Experience using AI‐assisted development tools (e.g. Copilot or similar) to improve engineering productivity \n\n Benefits \n Life ...