and maintaining tools that support data science and MLOps/LLMOps workflows. Collaborate with Data Scientists to deploy, serve, and monitor LLMs in real-time and batch environments using Amazon SageMaker, Bedrock Implement Infrastructure-as-Code with AWS CDK, CloudFormation to provision and manage cloud environments. Build and maintain CI/CD pipelines using GitHub Actions, AWS CodePipeline …/MLOps experience with a strong focus on building and delivering scalable infrastructure for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) - SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in Infrastructure-as-Code using AWS CDK or CloudFormation. Experience implementing and scaling MLOps More ❯
embedding technologies Expert in building RAG (Retrieval-Augmented Generation) systems at scale Strong experience with MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Staffworx
agents, models and services Lead implementation of full-stack interfaces and services using Node.js, TypeScript, React.js, Express, Next.js Integrate ML models and embeddings into production pipelines using AWS SageMaker , Bedrock or OpenAI APIs Build support systems for autonomous agents including memory storage, vector search (e.g., Pinecone, Weaviate) and tool registries Enforce system-level requirements for security, compliance, observability and More ❯
agents, models and services Lead implementation of full-stack interfaces and services using Node.js, TypeScript, React.js, Express, Next.js Integrate ML models and embeddings into production pipelines using AWS SageMaker , Bedrock or OpenAI APIs Build support systems for autonomous agents including memory storage, vector search (e.g., Pinecone, Weaviate) and tool registries Enforce system-level requirements for security, compliance, observability and More ❯
South East London, England, United Kingdom Hybrid / WFH Options
Staffworx
agents, models and services Lead implementation of full-stack interfaces and services using Node.js, TypeScript, React.js, Express, Next.js Integrate ML models and embeddings into production pipelines using AWS SageMaker , Bedrock or OpenAI APIs Build support systems for autonomous agents including memory storage, vector search (e.g., Pinecone, Weaviate) and tool registries Enforce system-level requirements for security, compliance, observability and More ❯
embedding technologies Expert in building RAG (Retrieval-Augmented Generation) systems at scale Strong experience with MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong More ❯
e.g. data and model versioning, model deployment CI/CD, MLFlow/DVC) Cloud platform experience, especially from an ML standpoint (AWS preferred) Statistical testing experience Experience with AWS Bedrock Experience with C# Containerization via Docker. Awareness of basic data science and generative AI methods. Exposure to generative AI application frameworks like LangChain, LlamaIndex, SmolAgents and griptape. What's More ❯
related. Required technical skills: Coding proficiency in Python, and front-end development experience with Javascript/React. Proficiency development with services such as AWS Lambda, Step Functions, DynamoDB, AppSync, Bedrock, SageMaker, and CloudWatch. Proficiency in developing and integrating with REST-based or GraphQL-based APIs. Proficiency in developing infrastructure-as-code deployment solutions such as AWS CloudFormation or AWS 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 ❯
execute automated test suites. Experience working on AI/LLM projects such as testing model accuracy, correctness, completeness, and performance is a plus. Experience with Azure OpenAI Service, AWS Bedrock, and/or AWS Sagemaker is a plus. Experience in software QA methodologies, tools and processes. Experience in mapping test strategies to requirements, creating detailed test cases and test … with agile software development methodologies such as Scrum or Kanban. Familiarity and/or experience with Microsoft Office, Postman, Jira, Confluence, Bitbucket, Git, TeamCity, Octopus Deploy, Microsoft Azure, and Amazon AWS. Someone who isn't afraid of responsibility, loves learning and sharing, and a down-to-earth personality. Software certifications are a bonus. About Definely At Definely, we're More ❯
Chantilly, Virginia, United States Hybrid / WFH Options
Gridiron IT Solutions
AI agents Design and develop RAG (Retrieval-Augmented Generation) operations to enhance AI model performance Create and maintain prompt workflows for various AI tasks Integrate and work with AWS Bedrock and Bedrock knowledgebases Utilize Anthropic Claude Sonnet for advanced language processing tasks Works closely with business analysts, UI/UX developers, and subject matter experts to understand functional … web application development using .NET and C# Strong proficiency in front-end technologies (HTML5, CSS, JavaScript) Experience with MySQL database design and management Familiarity with AWS services, particularly AWS Bedrock Knowledge of Generative AI concepts and technologies Experience with implementing chatbots or conversational AI systems Understanding of RAG operations and prompt engineering Familiarity with large language models like Anthropic More ❯
.NET 7, Blazor WebAssembly Puma, Sidekiq, GitHub Actions, Postgres, Redis, New Relic AWS; ECS, RDS Postgres, DynamoDB, Redshift Serverless, CDK New Relic, Insight Hub AI Tools: Cursor, CoPilot, AWS Bedrock, AWS Transcribe, AWS SageMaker About You You are highly self motivated and can work independently or partner closely with other engineers on a project. You have proven experience on More ❯
are helping one of the highest regarded AWS Consultancies in the UK look for multiple AWS Architects/AWS Engineers to help deliver on cutting edge Gen.AI projects utilsing Bedrock/Sagemaker. If you have a perfect blend between Cloud Architecture and hands-on coding with Terraform/Kubernetes/Serverless, with some Object Oriented programming skills we want More ❯
London, England, United Kingdom Hybrid / WFH Options
Fruition Group
are helping one of the highest regarded AWS Consultancies in the UK look for multiple AWS Architects/AWS Engineers to help deliver on cutting edge Gen.AI projects utilsing Bedrock/Sagemaker. If you have a perfect blend between Cloud Architecture and hands-on coding with Terraform/Kubernetes/Serverless, with some Object Oriented programming skills we want More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Anson McCade
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 ❯
City of London, London, United Kingdom Hybrid / WFH Options
Anson McCade
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 ❯
City of London, London, United Kingdom Hybrid / WFH Options
Anson McCade
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 ❯
South East London, England, United Kingdom Hybrid / WFH Options
Anson McCade
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 ❯
South East London, England, United Kingdom Hybrid / WFH Options
Anson McCade
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 ❯
North West London, London, United Kingdom Hybrid / WFH Options
ByteHire
Familiar with Terraform, from a developer perspective. Previous work in financial services, healthcare, or similarly regulated data environments. Experience with LLMs, voice agents, or tools like AWS SageMaker, AWS Bedrock, or ElevenLabs. Exposure to soft real-time systems or distributed system architectures. Knowledge of OAuth, SQS, or running containers in production. More ❯
Greater London, England, United Kingdom Hybrid / WFH Options
ByteHire
Familiar with Terraform, from a developer perspective. Previous work in financial services, healthcare, or similarly regulated data environments. Experience with LLMs, voice agents, or tools like AWS SageMaker, AWS Bedrock, or ElevenLabs. Exposure to soft real-time systems or distributed system architectures. Knowledge of OAuth, SQS, or running containers in production. More ❯
