25 of 25 Permanent Amazon SageMaker Jobs in London

experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments Strong experiment design skills: hypothesis formulation, A/B testing methodology, and statistical evaluation Proven track record transitioning models ...

experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments Strong experiment design skills: hypothesis formulation, A/B testing methodology, and statistical evaluation Proven track record transitioning models ...

experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments Strong experiment design skills: hypothesis formulation, A/B testing methodology, and statistical evaluation Proven track record transitioning models ...

serving: NVIDIA Triton, vLLM, TensorRT-LLM, or equivalent high-throughput serving platforms. MLOps/LLMOps: Kubeflow, MLflow, and at least one hyperscaler ML platform (SageMaker, Azure ML, or Vertex AI).Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks ...

frameworks (PyTorch, TensorFlow). Prompt Engineering, Langchain,Langsmith/Langfuse, Gen AI/Agentic AI , Cloud platforms (Azure AI Foundry, AWS Bedrock/Sagemaker, GCP Vertex AI) , MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes). Preferred Delivered AI projects within Agile frameworks Experience on Gen AI Feedback Analysis ...

least one major cloud provider. AWS, GCP or AzureFamiliar with Docker and CI/CD pipelinesExperience with managed ML platforms such as SageMaker, Vertex AI or Azure MLData engineering and MLOpsExperience with data warehouses such as Snowflake, BigQuery or RedshiftWorkflow orchestration using tools like Airflow or DagsterExperience with MLOps ...

technologies like docker, Kubernetes, AWS EKS etc. Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock,AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure blob storage etc. Master's degree or above in Machine learning/data science, computer science, applied mathematics ...

strongly preferred) Production ML engineering excellence – Strong understanding of MLOps, containerization (Docker, Kubernetes/AWS EKS), cloud platforms (AWS/Azure including Bedrock, SageMaker, Azure AI Search), workflow orchestration (Airflow), and API development for ML systems Software development fundamentals – Deep understanding of automated testing, source version control, code optimization ...

tidyverse, caret, ggplot, etc.). Proven experience developing, refining, and monitoring NLP models. Familiarity with database management tools and techniques (e.g., SQL, Selenium, S3, Sagemaker, API protocols) is preferred but not required. Understanding model evaluation methods and metrics. Ability to operationalize non-technical ideas into relevant research designs, features ...

runbooks. Your Story5+ years' experience in ML Engineering, MLOps, or similar roles. Proficiency in Python. Experience with a managed machine learning platform such as Amazon SageMaker or an equivalent service. Practical knowledge of deploying and operating containerized workloads using Docker and Kubernetes. Experience developing or operating model-serving ...

plus a growing dataset from The Mix's services, including peer support and counselling. All data is held in a secure AWS environment, with Amazon SageMaker for model development and Amazon Bedrock for access to frontier AI models. Responsible data use: Data are securely governed with access ...

Strong Generative AI architecture experience, including LLM hosting, RAG, vector databases, prompt orchestration and guardrails. Knowledge of AI platform tooling such as Azure ML, Amazon SageMaker, MLflow, Kubeflow and Databricks . Ability to evaluate technologies and make evidence-based architectural decisions. Experience designing secure, scalable and cost-optimised ...

production Strong Python development skills Hands-on experience with LangGraph, LangChain, LlamaIndex, CrewAI or similar Experience with AWS, particularly Bedrock, Lambda, ECS, EKS or SageMaker Strong understanding of RAG, agentic AI and multi-agent architectures Experience with CI/CD, cloud infrastructure and application deployment Comfortable working directly with ...

offs. Real-time ML & reproducibility: A strong grasp of production inference patterns and reproducible environments (Docker, MLflow or equivalent). Cloud & tooling: AWS, plus SageMaker, Snowflake, Spark/Databricks and Kubernetes. Engineering mindset: A focus on reliability, maintainability and continuous improvement. ...

ethics An understanding of data safety in use of Large Language Models Knowledge and experience of either AWS or Azure: AWS (boto3, Bedrock, Sagemaker, Lambda, S3, EC2) Azure (azure Open AI service, Cosmos DB) Python LangGraph Neo4j/cypher Other coding languages/frameworks e.g. Java/.Net ...

Python, Java, etc) in support of Investment Portfolio Management and Construction Utilizing AWS technologies such as Lambda, API Gateway, DynamoDB, S3, Glue, Redshift, EMR, Sagemaker, EKS/ECS. Working in a team with experienced software engineers to identify great projects and features that will help you grow in your ...

ethicsAn understanding of data safety in use of Large Language ModelsKnowledge and experience of either AWS or Azure: AWS (boto3, Bedrock, Sagemaker, Lambda, S3, EC2)Azure (azure Open AI service, Cosmos DB)PythonLangGraphNeo4j/cypherOther coding languages/frameworks e.g. Java/.NetAI RAG (retrieval augmented generation)Graph RAGFew ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Economic Decision Science is Amazon's Central Economics team in Europe. Our goal is to improve outcomes for customers by optimizing and automating business decisions. We work at the intersection of Economics, Machine Learning, Statistics, and Data Engineering, a highly engaging space where ideas directly shape how our stores … early integration, and fast iteration. You'll work with tools such as DBT, Python, Apache Airflow, Spark, Iceberg; AWS services like Lambda, Bedrock, and SageMaker, containers, and whatever adds the most value. You'll design tools that are simple, semantic, and scalable. As you gain familiarity with the domain ...