51 to 75 of 85 Permanent Amazon SageMaker Jobs

libraries, frameworks and services : such as ML libraries e.g. TensorFlow or PyTorch; model servers such as AWS Bedrock; MLOps such as ML Flow or Sagemaker; agent/AI orchestration such as LangGraph or MCP libraries Strong programming skills, especially in Python (other languages like C++, Scala, Rust ...

engineering best practices , covering LLMOps, MLOps, CI/CD, automated evaluation, observability, security, performance and cost optimisation. Work extensively with AWS AI services , including Amazon Bedrock, Bedrock AgentCore, SageMaker, Lambda and Step Functions. What We Are Looking For: Proven experience as an Engineering Manager or Technical Lead with … agent frameworks such as LangGraph, Strands Agents or Claude Agent SDK, alongside interoperability standards including MCP and A2A. Strong AWS cloud engineering experience, particularly Amazon Bedrock, Bedrock AgentCore, SageMaker, Lambda and Step Functions, with Infrastructure as Code using AWS CDK or equivalent. Hands-on experience with LLMOps ...

Nexus experience and SSO implementation across industry-standard softwareScripting in Bash and Python or Go, and experience integrating SAST and DASTDesirable: MLOps or LLMOps (SageMaker, Kubeflow, ZenML), Prometheus observability, AWS Karpenter, ISO 27001, NIST SSDF, OWASP SAMM, active SC or DV clearanceWhat's On OfferCompany pension with 4% employer ...

with SQL and large relational datasets from multiple sources Experience in data preparation and transformation Experience with cloud environment (AWS S3, EC2, Redshift, Glue, SageMaker) and data frameworks (Spark, Hadoop, HDFS) Experience leveraging data insights to influence business stakeholders and communicate analytic insights to non-technical audiences Be able ...

Strands Agents, LangGraph or the Claude Agent SDK, and with interoperability standards such as MCP and A2A.Strong cloud-native expertise on AWS, especially Amazon Bedrock and Bedrock AgentCore, alongside SageMaker, Lambda and Step Functions, with CDK or equivalent IaC.Hands-on LLMOps and MLOps experience, including agent and trajectory … capabilities consumed by multiple product teams, such as internal MCP servers or agent tooling.Experience with vector search at scale, using tools such as OpenSearch, Amazon S3 Vectors or pgvector.Familiarity with AI governance and regulation, and with putting responsible AI practices into day-to-day engineering.An advanced degree in computer ...

simpler approach is the better choice. Experience with retrieval, embeddings and working with unstructured text. Hands-on experience with AWS AI services, in particular Amazon Bedrock and SageMaker. Able to lead technically and explain trade-offs to non-technical stakeholders. Desirable Background in life sciences, healthcare or market intelligence. ...

opportunities across major UK and EMEA clients. Shape AWS-native agentic AI solutions that move clients from proof of concept to production, using Amazon Bedrock, AgentCore, agents, RAG, guardrails, orchestration, observability and operational controls. Architect complex cloud journeys including VMware/data-centre exit, mainframe and .NET modernisation … Migration Hub, Application Migration Service, AWS Database Migration Service, containers, serverless, managed databases and platform automation. Design production-ready AI/agentic solutions using Amazon Bedrock, AgentCore services, Knowledge Bases, vector/RAG patterns, Amazon Q/Quick where applicable, SageMaker AI, model evaluation and guardrails. Create ...

years AWS Solutions Architecture AWS Infrastructure, Networking, Security & IAM Terraform/CloudFormation AWS Migrations & Multi-Account Environments GenAI, LLM & Agentic AI AWS Bedrock/SageMaker Client Consulting & Technical Leadership Offshore Team Leadership ...

environment evolves, but typical tools include: Python for experimentation, modelling, and evaluation Weights & Biases (or equivalent) for experiment tracking AWS , including services such as SageMaker and Bedrock Internally supported AI development platforms and tooling This role is not suited to candidates who are dogmatic about specific tools . Adaptability ...

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and ...

strategies and evaluation harnesses. Develop APIs, microservices and serverless workflows for scalable deployment. ML/LLM EngineeringWork with AI+ML pipelines through Azure ML, AWS SageMaker, Vertex AI, Databricks, or Modal/Fly.io for lightweight LLM deployment. Utilize vector databases (Pinecone, Weaviate, Milvus, ChromaDB, pgVector) and embedding stores. … Large, LLaMA 3, Cohere Command R+, DeepSeekFrameworks: LangChain, LlamaIndex, Haystack, AutoGen, CrewAITools: GitHub Copilot, Cursor, LangSmith, LangFuse, Weights & Biases, MLflow, HumanloopCloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks, ModalInfra: Python, Docker, Kubernetes, SQL/NoSQL, PyTorch, FastAPI, RedisStaffworx are a UK based Talent & Recruiting Partner, supporting Digital Commerce ...

manage CI/CD for ML, including automated data validation, model testing, and deployment.Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML.End-to-end custom SageMaker pipelines for recommendation systems.Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation … reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hostedDesign and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs Build evaluation pipelines: offline IR metrics (e.g., NDCG ...

encounterThe environment evolves, but typical tools include:Python for experimentation, modelling, and evaluationWeights & Biases (or equivalent) for experiment trackingAWS, including services such as SageMaker and BedrockInternally supported AI development platforms and toolingThis role is not suited to candidates who are dogmatic about specific tools. Adaptability and outcome focus matter ...

/CD for ML, including automated data validation, model testing, and deployment.· Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML.· End-to-end custom SageMaker pipelines for recommendation systems.· Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation … reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted· Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs · Build evaluation pipelines: offline IR metrics (e.g., NDCG ...

applications. Agent orchestration, tool calling, RAG, context engineering, vector databases, event-driven integration and human approval workflows. Deployment through Anthropic APIs and/or Amazon Bedrock or Google Cloud Vertex AI, with broader AWS, Google Cloud or Microsoft Azure experience. DevSecOps, containers, infrastructure as code, cloud security, monitoring, scaling … Experience leading engineering delivery, reviewing code, mentoring developers and converting prototypes into maintainable production services. AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB Implementation of AI/ML architectural patterns and best practices ...

Strong hands-on expertise in AWS (compute, storage, networking, security, serverless, containers).Proven experience with AWS AI/ML services such as Agent Core, Amazon Bedrock, SageMaker, Comprehend, Textract, and GenAI patterns (RAG, copilots, agents).Strong development experience in Java and/or Python, with frontend exposure ...

issuesQualifications:5+ years of experience in cloud architecture with a primary focus on AWS or Azure, including hands-on deployment and management of Amazon EKS or ECS, or Azure Kubernetes Service and hybrid connectivity services3+ years of experience in a customer-facing role (e.g., consulting, professional services, pre-sales … technology vendor with a proven track record leading enterprise consulting or professional services engagementsExposure to implementation of API gateways (e.g., Zuul, Apigee, Kong, Amazon API Gateway, Azure API Management) and AI application specific gateways (e.g., LiteLLM, Portkey, Helicone, TrueFoundry)Solid understanding of public cloud networking constructs (e.g., AWS VPCs ...

engineering) Develop Agentic AI systems for automation and orchestration Build and deploy ML models for real-world business use cases Work with AWS (Bedrock, SageMaker, Lambda, ECS/EKS, etc.) Drive AI innovation , POCs, and enterprise transformation initiatives Collaborate with cross-functional teams and mentor others What Were Looking … solutions Strong Python & Java skills Experience with LangChain, LlamaIndex, CrewAI, or similar Knowledge of RAG, vector databases, and semantic search AWS cloud expertise (Bedrock, SageMaker preferred) Experience with APIs, microservices, and cloud-native architecture Nice to Have AWS certifications (ML/Architect) Experience with MLOps, CI/CD, Responsible ...

success metrics.- Position AI and GenAI as the outcome layer of migration: help customers see how moving to AWS unlocks access to services like Amazon Bedrock, SageMaker, and partner AI technologies (e.g. Anthropic Claude) to drive competitive advantage post-migration.- Own revenue targets across the full transformation lifecycle. … 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 ...

seeking a Senior Customer Success Specialist - AI Driven Digital Product Delivery to lead strategic transformation initiatives for organizations adopting Amazon Kiro and AWS's generative AI platform to revolutionize how they build and deliver digital products. This is a senior individual contributor role within the AWS Specialists & Partners … hundreds of organizations globally. Key job responsibilitiesStrategic Customer Transformation- Design and lead comprehensive AI-driven digital product delivery transformation strategies for enterprise customers adopting Amazon Kiro and AWS Gen AI services, addressing SDLC modernization, engineering culture evolution, organizational capabilities, change management, and value realization through integrated frameworks and executive ...

particular those based on large language models, information retrieval, recommender systems and knowledge graphs, to be tailored to customer needs. You will handle Amazon-scale use cases with significant impact on our customers' experiences. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will … understanding multimodal user queries and generating answers that combine text, image, audio and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalised shopping guidance. We utilize and advance state-of-art techniques in the fields of Natural Language Processing ...

particular those based on large language models, information retrieval, recommender systems and knowledge graphs, to be tailored to customer needs. You will handle Amazon-scale use cases with significant impact on our customers' experiences. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will … understanding multimodal user queries and generating answers that combine text, image, audio and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalised shopping guidance. We utilize and advance state-of-art techniques in the fields of Natural Language Processing ...

production deployment and optimisation2. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker3. Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams4. Partner with customers to translate business challenges … 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 ...

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job CategorySalesJob DetailsAbout SalesforceSalesforce is the #1 AI CRM, where ...

place where everyone can grow, develop and fulfil your potential with meaningful careers.The Role:We are seeking a Principal Machine Learning Engineer (SageMaker, MLOps, Model Governance & Explainability) to provide technical leadership across the full lifecycle of machine learning systems powering a new matching platform. This role is accountable … matching platform, including data pipelines, model training workflows, inference runtimes, and telemetry ecosystems.Lead adoption of best‐in‐class MLOps patterns, platform tooling, and AWS SageMaker capabilities across training, processing, registry, monitoring, and deployment.Partner with platform, security, and data engineering teams to implement scalable data lakehouse oriented feature architecture ...