201 to 225 of 282 Amazon SageMaker Jobs in the UK

just file handling). Understanding and experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder – with a strong sense of how More ❯

models, and experimentation. Strong communication skills with the ability to simplify complex analysis for business audiences. Degree in Mathematics, Statistics, Economics or related quantitative field. Desirable: Experience working with SageMaker or similar cloud-based ML platforms. Prior experience in subscription or membership-based consumer businesses. Exposure to marketing mix modelling or marketing analytics. Interview Process 1st Stage: Introductory screen More ❯

complex distributed systems, management products, or business applications. Full-stack development experience with AI technologies and their application to user or backend solutions. Experience with AI tools such as SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python. Proficiency with front-end technologies (React, Angular, SwiftUI, Kotlin) and back-end technologies (Java, Typescript, Spring, Express). Experience with More ❯

systems, management products, or business applications. Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions. Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python. Experience with at least one of the following: Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android). Back More ❯

systems, management products, or business applications. Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions. Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python. Experience with at least one of the following: Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android) or Back More ❯

understanding of AI, and AI ethics An understanding of data safety in the 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 Other Requirements SC cleared or 5 years uninterrupted residency in the UK and be prepared to go through More ❯

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 ❯

systems, management products, or business applications.■ Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions.■ Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python■ Experience with at least one of the following: Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android) Back-end More ❯

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 ❯

collaborate across disciplines. Experience and skills we'd love: Familiarity with MLflow for tracking experiments, managing model lifecycle, or deploying models. Experience with AWS services such as S3, EC2, SageMaker, Lambda, or similar tools for model deployment and data pipelines. Computer Vision Expertise: Practical experience or exposure to modern computer vision models and techniques such as ResNet, YOLO, Vision 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 Google Tag Manager Modelling/ML Engineer Interview process 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 ❯

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 ❯

Senior Analytical Data Engineer - Sagemaker Unified Studio Senior Analytical Data Engineer - Sagemaker Unified Studio Get AI-powered advice on this job and more exclusive features. Datore provides a comprehensive Analytics as a Service solution with a single, affordable monthly subscription. Leveraging 30 years of experience in the built environment and extensive knowledge in data, Datore transforms raw data … process automation, all while maintaining strong partnerships and ISO certifications for security and quality. Role Description This is a full-time remote role for a Senior Analytical Data Engineer - Sagemaker Unified Studio at Datore. The role involves developing and managing advanced data processes and pipelines, including data modelling, ETL tasks, and data warehousing. The engineer will work to extract … sources in client data. Salary of up to £60,000 per annum plus annual bonus, depending on experience. Qualifications Extract Transform Load (ETL), Data Warehousing skills Proficiency with AWS Sagemaker Unified Studio and related tools Strong communication and collaboration skills Experience with cloud-based data platforms Bachelor's degree in Computer Science, Engineering, or related field would be an More ❯

Senior Delivery Consultant -Data Analytics & GenAI, AWS Professional Services Public Sector Job ID: 2981201 | Amazon Web Services Australia Pty Ltd Are you a Senior Data Analytics and GenAI consulting specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do you have senior stakeholder engagement experience to … decisions and desired customer outcomes. Key job responsibilities Expertise: Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker, Amazon Quicksight and Amazon Bedrock. Solutions: Support pre-sales and deliver technical engagements with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings. Delivery: Engagements include projects proving the use of AWS services to support new distributed computing More ❯

Senior Delivery Consultant: Data Analytics & GenAI Job ID: Amazon Web Services Australia Pty Ltd Are you a Senior Data Analytics and GenAI consulting specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do you have senior stakeholder engagement experience to support pre-sales and deliver consulting … Vetting Agency clearance (see ). Key job responsibilities Expertise: Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker, Amazon Quicksight and Amazon Bedrock. Solutions: Support pre-sales and deliver technical engagements with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings. Delivery: Engagements include projects proving the use of AWS services to support new distributed computing 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 ❯

of the trade-offs between exploratory and production workflows And would love you to know or have made: Talks at conferences/meetups or articles published on relevant topics. Amazon Sagemaker experience. AWS cloud knowledge. Open source contributions. Where next? In the NewDay Tech team, you’ll join an Expert or Leader career pathway. This will guide you 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 ❯

Engineering Have you ever been shown an irrelevant ad? How about and an embarrassing one with a child or parent watching? Here, you can help us be part of Amazon's solution to ensuring you and millions of customer like you never face this. Here, you can help us make a world wide impact on the Amazon Advertising … experience. Amazon is investing in building a world class advertising business and our team is responsible for ensuring that the ads served to customers meet the same high quality bar that you've come to love and trust. We're looking for an outstanding candidate to join us as a full-time Software Development Engineer. You will work as … data technologies such as AWS Lambda, ECS, Elastic Search, DDB, SQS, SNS, Apache Spark, and EMR. About the team The Advertising Trust (AT) organization is at the center of Amazon Ads, one of Amazon's fastest growing businesses. Every ad that flows through our Amazon systems, or is presented on one of our owned and operated sites More ❯

potential. Essential foundational skills include: Deep proficiency in Python or JavaScript/TypeScript and associated AI/ML SDKs. Solid experience with cloud platforms, specifically AWS (including services like SageMaker, Lambda, S3). Preferred Skills We value experience with deploying and managing open-source models. Our front-end stack includes React/Next.js, so familiarity here is beneficial. Additional More ❯

Scientists to build and optimize ML models that improve the accuracy and efficiency of the search engine. Prior experience in similar projects is highly beneficial. 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 Position inside IR35 Immediate start preferred If More ❯

in Data Science & ML Expert in Python , data wrangling, EDA, modelling, validation, and deployment Strong in supervised & unsupervised learning ; exposure to NLP/OCR a plus Proficient with AWS SageMaker , Databricks ; Palantir Foundry/AIP is a big plus Insurance/underwriting/claims background is a bonus Confident communicator with client-facing experience 🎯 Interview Process: Round 1: Technical More ❯