376 to 400 of 508 Amazon SageMaker Jobs

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 manufacturing companies. Global manufacturers face More ❯

management skills to lead, motivate and grow a team who are geographically dispersed. Comfortable using a multi-platform stack to deliver products (Databricks, Azure ML Studio, Azure and Snowflake, SageMaker, AWS). Ability to take ownership of a broad product-set and drive forward the delivery of new products and product features. Strong ability to communicate complex concepts clearly More ❯

learn from and mentor some of the brightest minds and friendliest people in the industry! - You work with some of the best tech in the industry, such as AWS SageMaker for ML, DBT for data processing along with standard analytical tools like Python, Redshift, Tableau etc. - All our decisioning systems are built in-house, meaning that we have nearly More ❯

skills to lead, motivate and grow a diverse team who are geographically dispersed. Comfortable using a multi-platform stack to deliver products (Databricks, Azure ML Studio, Azure and Snowflake, SageMaker, AWS). Ability to take ownership of a broad data product-set and drive forward the delivery of new products and product features. Strong ability to communicate complex concepts More ❯

expectations (e.g., PRA SS1/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow, Azure ML, SageMaker, Databricks, Python etc). Excellent stakeholder management and communication skills. Technical background in AI/ML, data science, or software engineering Experience with cloud-native AI environments and SaaS More ❯

React Native (iOS and Android) 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 Postman API tests All the other good stuff: Sentry GitHub Actions Intercom, Mixpanel RevenueCat App Store Connect/Play Store Figma Software Engineer Interview Process Our aim is to More ❯

React Native (iOS and Android) 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 Postman API tests All the other good stuff: Sentry GitHub Actions Intercom, Mixpanel RevenueCat App Store Connect/Play Store Figma Software Engineer Interview Process Our aim is to More ❯

Job Description: DevOps Engineer Salary:£56,100-£60,000 dependant on experience Location status:Hybrid working Location:Angel Court, London or Bupa Place, Salford Contract type:Permanent Shift pattern:Full-time, 37.5 hours per week We make health happen At More ❯

Data Analyst at Paysafe (Hybrid, London) Paysafe is seeking a highly skilled Data Analyst to join their London-based team, with the flexibility of hybrid work. This role offers an exciting opportunity to leverage your excellent eye for detail and More ❯

technical problems? Do you have a 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 platform in the cloud. … AWS Services around the globe, we 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 and features apart in … their cloud services. The AWS AI/ML team helps to support and operate some of the most comprehensive artificial intelligence and machine learning services in the world. From SageMaker to Bedrock to Amazon Q, the AI/ML team manage some of the most exciting, rapidly evolving services in AWS. If you join us, you'll be More ❯

Job ID: 2966946 | Amazon UK Services Ltd. - A10 This position is available at any CORP location in EMEA : London, Manchester, Paris, Madrid, Barcelona, Luxembourg, Milan, Munich, Leipzig, ... The Risk Manager, Innovation supports Global Security Risk Management & Resilience by leading initiatives that transform complex risk-related data into actionable insights across Amazon’s worldwide operations. This role blends … that enable risk & resilience operating model. • Collaborating with engineers and analysts to improve data and system performance. About the team Working in partnership with our stakeholders, we secure the Amazon supply chain end-to-end. The Global Risk Management & Resilience team creates and maintains a comprehensive risk framework to ensure continuation of our business, providing risk oversight, risk preparedness … of leading complex, global risk management programs and digital transformation initiatives. PREFERRED QUALIFICATIONS - Experience in program or project management - Understanding of risk modeling. - Familiarity with AWS tools (Redshift, RDS, SageMaker) for data storage and analysis. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions More ❯

Power BI, Qlik, etc.) Familiarity with predictive analytics and AI, e.g. machine learning Working knowledge of data platforms such as Snowflake and Databricks; ML platforms such as Azure ML, Amazon SageMaker, Google Vertex, etc; as well as R and/or Python Familiarity with web technologies such as JavaScript, security protocols, application integration, and embedding Degree or equivalent More ❯

team environments. Nice to haves: experience with Bayesian modelling and probabilistic programming libraries such as PyMC; proven ability in the creation and deployment of fraud detection models; familiarity with Amazon Sagemaker and its various features used in model development and deployment. Your Personal Attributes Be self-motivated and comfortable working in a fast-paced environment where priorities evolve. More ❯

test suites. Experience working on AI/LLM projects such as testing model accuracy, correctness, completeness, and performance. 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 plans, and preparing test data. … 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. What we offer An opportunity to More ❯

Power BI, Qlik, etc.) Familiarity with predictive analytics and AI, e.g. machine learning Working knowledge of data platforms such as Snowflake and Databricks; ML platforms such as Azure ML, Amazon SageMaker, Google Vertex, etc; as well as R and/or Python Familiarity with web technologies such as JavaScript, security protocols, application integration, and embedding Degree or equivalent More ❯

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 plans, and preparing test data. … 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 ❯

in a consultancy, pre-sales, or technical advisory role. Knowledge and experience of one or more of the following key data technologies; Azure Fabric, SQL Server, Databricks, Snowflake, AWS Amazon Sagemaker, Oracle or equivalents. Proposal & Communication Expertise Strong written and verbal communication skills, with a proven ability to articulate complex concepts to technical and business audiences. Experience of More ❯

in a consultancy, pre-sales, or technical advisory role. Knowledge and experience of one or more of the following key data technologies; Azure Fabric, SQL Server, Databricks, Snowflake, AWS Amazon Sagemaker, Oracle or equivalents. Proposal & Communication Expertise Strong written and verbal communication skills, with a proven ability to articulate complex concepts to technical and business audiences. Experience of More ❯

Location: Malvern, PA, USA Length: Long term Restriction: W2 or C2C Description: Webcam interview; Long term project Hybrid JOB DETAILS GenAI Implementation Python/PySpark LLM experience AWS: Lambda, SageMaker, Glue (all required) RAG experience More ❯

with creating APIs using GraphQL Experienced with AWS Typescript CDK Experienced with Document DBs such as MongoDB and DynamoDB Experienced with AWS Data Pipelines such as AWS Glue and SageMaker Bonus Experience NestJS framework Creating APIs using GraphQL AWS Typescript CDK MongoDB, DynamoDB and other document DBs AWS Data Pipelines like Glue, DMS, SageMaker Perks & Benefits Competitive Salary More ❯

Scientists to develop and optimise ML models that improve the accuracy and efficiency of the search engine. Prior experience in similar projects is highly advantageous. Proficiency in Python, AWS, SageMaker, and A/B Testing Experience with AI/ML search engine projects Strong communication skills and ability to work under pressure Inside IR35 Immediate start preferred If you More ❯

Scientists to develop and refine ML models that increase the accuracy and efficiency of the search engine. Prior experience in similar projects is highly advantageous. Proficiency in Python, AWS, SageMaker, and A/B Testing Experience with AI/ML Search Engine projects Strong communication skills and ability to work under pressure Inside IR35 Immediate start preferred If you More ❯

and optimize machine learning models that improve search engine accuracy and efficiency. Prior experience in similar AI/ML search engine projects is highly advantageous. Proficiency in Python, AWS, SageMaker, and A/B Testing Experience with AI/ML search engine projects Effective communication skills and ability to work under pressure Contract inside IR35 Immediate start preferred If More ❯

other Data Scientists to develop and refine machine learning models that improve search engine accuracy and efficiency. Prior experience in similar projects is highly advantageous. Proficiency in Python, AWS, SageMaker, and A/B Testing Experience with AI/ML search engine projects Strong communication skills and ability to work under pressure Position inside IR35 Immediate start preferred If More ❯

a team of Data Scientists to build and optimize ML models that improve search engine accuracy and efficiency. Experience in similar projects is highly advantageous. Proficiency in Python, AWS, SageMaker, A/B Testing Experience with AI/ML search engine projects Effective communication skills and ability to work under pressure Position inside IR35 Immediate start preferred If you More ❯