51 to 75 of 77 Amazon SageMaker Jobs in the UK

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 ...

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 ...

Take AI features from prototype through to secure, reliable production deployment. Design and deploy AI/ML workloads on AWS, using services such as Amazon Bedrock or SageMaker, alongside S3, IAM and Lambda. Assess commercial APIs, hosted models and open-weight alternatives against capability, cost, latency and data … background and a track record of shipping AI/LLM systems into production. Strong hands-on experience deploying AI/ML workloads on AWS. Amazon Bedrock experience would be a significant advantage. Practical experience with RAG, embeddings and processing unstructured data. Confidence designing for security, privacy, tenant isolation ...

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 ...

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 … 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 ...

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 … 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 ...

Amazon Web Services (AWS) is seeking an experienced Senior Solutions Architect to join our Data & AI Solutions Architecture team the UK. As a trusted technical advisor, you will help leading financial institutions innovate and transform their business using AWS technologies. Solutions Architects work hand in hand with AWS customers … LLMs, RAG, FM evaluation, Vector DBs, Agentic workflows, prompt/context engineering, and MLOps.- Hands-on experience with AWS ecosystems (including Bedrock, AgentCore, and SageMaker) to set up secure, private-network AI environments, and practical experience implementing Retrieval-Augmented Generation using embeddings, vector stores, and semantic search optimization. Amazon ...

Location: London; UKWork type: HybridSeniority: DirectorPrimary skill: Amazon Web ServicesPosted: 2026-09-29We're looking for a Head of AWS Technology to join our team in London in a hybrid working mode. This is a senior leadership role that combines technical depth, architectural authority, and commercial responsibility … sectors. ResponsibilitiesSet the technical vision, architecture standards and engineering practices for the AWS practiceLead adoption of AI and GenAI capabilities on AWS, including Bedrock, SageMaker and RAG patternsProvide hands-on technical oversight on complex engagements and ensure quality deliveryEstablish and nurture the AWS partnership through competencies, programs and joint ...

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 ...

looking for a Senior Lead ML Engineer with a proven track record of delivering successful, production-scale machine learning solutions (ideally on AWS SageMaker).You will provide technical leadership across ML lifecycle, including defining architecture, engineering standards, MLOps practices, and governance frameworks for a large-scale matching platform. This … building, deploying, monitoring, and operating ML systems in production. Essential ExperienceDemonstrable success designing and delivering enterprise-scale ML platforms and products (ideally using AWS SageMaker).Proven experience delivering ML solutions from data ingestion and feature engineering through to production deployment, monitoring, and continuous improvement. Experience building reliable, low-latency ...