101 to 125 of 158 Amazon SageMaker Jobs in the UK

large language models, including agents, planning, or reasoning techniques Experience building and deploying ML models on cloud platforms Familiarity with AWS tools such as SageMaker, EKS, or similar services #J-18808-Ljbffr ...

standards and reusable patterns; Experience setting technical direction and influencing engineering practices across teams; Hands-on experience with cloud ML platforms such as AWS SageMaker and orchestration tools such as Airflow and Step Functions; Strong communication skills and ability to collaborate across Data Science, Engineering, and Data Platforms; Comfortable ...

Scikit-learn, TensorFlow, PyTorch). Experience with cloud platforms (AWS, GCP, or Azure) for ML. Strong knowledge of MLOps principles and tools (e.g., Kubeflow, SageMaker, MLflow). Ability to work with large datasets and distributed systems. Sample Work Required: Please provide a case study or documentation for a previous ...

business application Experience with contextual bandits, off-policy evaluation and learning torank models Experience with AWS technologies such as CDK, Redshift, S3, AWS Glue,Sagemaker, Kinesis, FireHose, Lambda, and IAM roles and permissions. Preferredqualifications: Experience using Unix/Linux Experience in professional software development Experience working within an Agile ...

Need Expert Python and SQL, with experience building production ML systems and data pipelines (PyTorch, XGBoost, Spark/PySpark, Apache Iceberg, Ray, MLflow, SageMaker, Airflow, or equivalent). Deep experimentation and statistical inference skills, and a strong grasp of optimisation under uncertainty (bandits, causal inference, off-policy evaluation). ...

vector operations using numpy, scipy; experience with distributed computation using multithreading, multi GPUs, Dask, Ray, Polars Familiarity with AWS Cloud services such as EMR, Sagemaker Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies including CI/CD, application resiliency, and security Preferred Qualifications, Capabilities ...

Typescript GraphQL (Apollo Client) Fastlane SwiftUI (Apple Watch) Maestro E2E tests Backend: Serverless (AWS) Lambdas (NodeJS & Python) AWS AppSync DynamoDB, S3, SQS, SNS, EventBridge, SageMaker Snowflake All the other good stuff: Sentry GitHub Actions Intercom, Mixpanel RevenueCat App Store Connect/Play Store Google Tag Manager Benefits ...

quality controls in production and balancing innovation with risk, safety and regulatory alignment. Cloud Architecture: Strong understanding of AWS cloud architecture for AI workloads (SageMaker, Bedrock, MSK, EKS). Stakeholder Communication: Excellent communication skills, with the ability to present technical decisions clearly to senior business, product or regulatory stakeholders. ...

Typescript GraphQL (Apollo Client) Fastlane SwiftUI (Apple Watch) Maestro E2E tests Backend: Serverless (AWS) Lambdas (NodeJS & Python) AWS AppSync DynamoDB, S3, SQS, SNS, EventBridge, SageMaker Snowflake All the other good stuff: Sentry GitHub Actions Intercom, Mixpanel RevenueCat App Store Connect/Play Store Google Tag Manager Salary and Benefits ...

deep passion and desire to engineer and operate the world's largest cloud computing infrastructure to provide a better world for future generations? Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure web services … need exceptionally motivated people who are driven by learning and innovation. AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services ...

vision to delivery, across a hybrid UK environment. You will leverage AWS analytics services to build secure, governed lakehouse and warehouse solutions, integrating with SageMaker and ensuring scalable, auditable data products while collaborating with cross-functional teams to implement CI/CD and governance practices. #J-18808-Ljbffr ...

/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-end custom Sagemaker pipelines for recommendation systemsDesign and implement the engineering components of GAR+RAG systems (e.g., query interpretation and 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 (NDCG ...

seen as theoretical 'black boxes' You will understand the tools and systems used to deliver all model activities, including the DSML tools (AWS Sagemaker),Snowflake and collaborate and advocate for the right approach as the needs of the business and technology evolves You will work in collaborative relationships ...

driven workflows) with monitoring, versioning and CI/CD Maintain and improve an AWS-native data platform (e.g., S3, Redshift, RDS, Athena, SageMaker, Lambda) Write and optimise complex SQL for analytics, reporting, modelling and downstream BI use Build and maintain integrations with internal services and partner systems to enable … moving environment where you can have meaningful impact Nice to Have Experience with AWS services commonly used in modern data platforms (e.g., Redshift, Athena, SageMaker, Lambda) Prior experience supporting analytics and ML teams with data modelling and reliable datasets Mentoring experience (formal or informal) Package Salary ...

hybrid setup across London or Dublin. The role requires 10+ years in data science, expertise in Transformers and representation learning, and strong Python/SageMaker capabilities. #J-18808-Ljbffr ...

learning engineer to own the training and deployment infrastructure for our production ML models. You will manage the training and inference workloads on AWS SageMaker, build reproducible training runs, and monitor model performance in live hospital environments. The role emphasizes production readiness, scalable systems, and collaboration with ML scientists ...

provide technical leadership across the full lifecycle of machine learning systems while architecting production-grade ML solutions. You will work with AWS SageMaker, lead teams on MLOps strategies, and ensure systems adhere to governance standards. This is a hands-on, technical position ideal for those with deep expertise ...

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. … VMware products Experience of large‐scale migration/data centre exit projects and key migration phases Preferred Qualifications Bachelor's degree or above Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your ...

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 ...

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

production-ready platform and infrastructure for machine learning solutions in healthcare. You will deploy and operate training, processing and inference workloads on AWS SageMaker, ensuring reproducible pipelines and robust monitoring across global deployments. The role emphasizes production-grade MLOps, data drift monitoring, and scalable deployment practices in a hybrid ...

reported items. The role includes dynamic re-forecasting in the Decision Execution module and building scalable deployment pipelines in production using AWS, Sagemaker, PyTorch and TensorFlow. #J-18808-Ljbffr ...

Amazon Development Centre (London) Limited We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry‐leading language technology powering Rufus, our AI‐driven search and shopping assistant, helping customers with their shopping tasks at every step … 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 ...

issues Qualifications: 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 services 3+ years of experience in a customer‐facing role (e.g., consulting, professional services … technology vendor with a proven track record leading enterprise consulting or professional services engagements Exposure 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. ...

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 ...