326 to 350 of 485 Amazon SageMaker Jobs

CloudFormation or Terraform Monitoring and performance tuning of cloud-based applications and services Nice to haves: (MLOps): Model Deployment & Serving – Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance. Monitoring & Retraining – Set up model drift detection, performance monitoring, and automated retraining ML Pipelines & CI/CD – Automate end-to-end ML workflows 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 ❯

Required technical skills: Coding proficiency in Python, and front-end development experience with Javascript/React. Proficiency development with services such as AWS Lambda, Step Functions, DynamoDB, AppSync, Bedrock, SageMaker, and CloudWatch. Proficiency in developing and integrating with REST-based or GraphQL-based APIs. Proficiency in developing infrastructure-as-code deployment solutions such as AWS CloudFormation or AWS CDK More ❯

performing data science teams. Excellent stakeholder management and communication skills – able to explain complex concepts in accessible language. Proficiency in tools such as Azure ML Studio , Databricks , AWS/SageMaker , Snowflake , and cloud-native platforms. Familiarity with CI/CD tools like Azure DevOps Pipelines or GitHub Actions . Comfortable working in Agile environments and contributing to iterative product More ❯

data science teams. Ability to build and communicate complex solutions to stakeholders across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such More ❯

and deploying ML models in real-world applications. Experience in marketing-related domains or similar data-driven industries. Proficiency in cloud-based ML tools and platforms such as AWS SageMaker, Google Vertex AI, Fabric, or MLOps frameworks. Hands-on experience with Python, TensorFlow, PyTorch, or similar ML frameworks. Why Kwalee? We believe in more than just a job—we 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 ❯

AWS Solutions Architect certification (Professional) is highly desirable. Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders. Preferred Qualifications: Experience with AWS AI services (Sagemaker, Bedrock, etc.) Experience in a 24x7 managed services, hosted service company, or Network Operations Center environment. Experience in on-premise infrastructure deployment/management Experience with ITIL processes and 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 ❯

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 ❯

. Deep technical understanding of AI/ML concepts: supervised and unsupervised learning, GenAI, LLMs, embeddings, MLOps, vector search. Experience designing solutions using tools such as Azure ML, AWS SageMaker, Google Vertex AI, Databricks, LangChain, and Hugging Face. Ability to develop architecture artefacts (e.g., HLDs), estimate effort and cost, and contribute to proposal writing. Strong storytelling and presentation skills More ❯

at Lyst. We work mainly in Python using all the standard ML toolkits and frameworks (e.g. SKLearn, Tensorflow, Pytorch), and run our ML code in the AWS environment using Sagemaker where possible. We have a strong preference for clean, documented, well tested and reviewed code and have tooling and a culture to support this. This is a hands-on More ❯

Sr Worldwide Specialist Solutions Architect - GenAI, Amazon SageMaker Job ID: 2858333 | AWS EMEA SARL (UK Branch) Are you passionate about Artificial Intelligence, Machine Learning and Deep Learning? Are you passionate about helping customers build solutions leveraging the state-of-the-art AI/ML/DL tools on Amazon Web Service (AWS)? Come join us! At Amazon … ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it’s a big part of our heritage. Within AWS, we’re … knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and TensorFlow, 2) Machine Learning Platforms such as Amazon SageMaker for data scientists, and, 3) API-driven Services like Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly More ❯

Sr. Applied Scientist, Generative AI Innovation Center Job ID: Amazon Web Services Korea LLC Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational … candidates to apply. If 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's why customers from the most … with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/or similar tools - Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker - Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts - Scientific thinking and the More ❯

Infrastructure as Code (IaC) - Docker Nice to have Skills: - Cloudwatch, kibana - Typescript Language knowledge Dutch Technical skills Apple MAC AWS CICD tooling AWS DynamoDB AWS Lambda AWS S3 AWS SageMaker Docker GIThub/BitBucket JavaScript Java SDK Kubernetes Spring Spring Boot Terraform TypeScript More ❯

Team to develop and deliver encryption key management processes and systems. Ensure security across the Data & Analytics technology stack, which includes Oracle tools, Snowflake, Postgres, and various AWS services (SageMaker, Lambda, Step Functions, DMS, S3, etc.). Data Security Engineer – Your Background The ideal Data Security Engineer will have: Experience in a similar role, with leadership qualities and knowledge More ❯

to develop and implement encryption key management processes and systems. Ensure security across the Data & Analytics technology stack, which primarily includes Oracle tools, Snowflake, Postgres, and various AWS services (SageMaker, Lambda, Step Functions, DMS, S3, etc.) in the AWS Cloud. Data Security Engineer – Your Background The ideal Data Security Engineer will have: Experience in a similar role, demonstrating leadership More ❯

and eligible to work without sponsorship. Bonus Points For: Experience with LLMs, machine learning platforms, or AI governance. Previous work with cloud-based AI tools (e.g., Azure ML, AWS SageMaker, GCP Vertex AI). Ready to lead the future of finance with AI? Apply now to be part of a transformative journey with one of the UK’s most More ❯

Team to develop and deliver encryption key management processes and systems. Ensure security across the Data & Analytics technology stack consists primarily of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud. Data Security Engineer - Your Background The ideal Data Security Engineer will have: Experience in a similar role, in both More ❯

Team to develop and deliver encryption key management processes and systems. Ensure security across the Data & Analytics technology stack consists primarily of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud. Data Security Engineer - Your Background The ideal Data Security Engineer will have: Experience in a similar role, in both More ❯

What you’ll bring: Proven experience with Python and SQL Strong expertise in AI, OpenAI, and LLMs A track record in machine learning modelling Experience with tools such as SageMaker and DataRobot A background in finance or another regulated industry You’ll be instrumental in building greenfield AI products from the ground up, helping the business stay at the More ❯

sources. Active SC Clearance and sole British nationality are mandatory due to project sensitivity. Desirable: Experience in defence or government programmes. Familiarity with cloud-based ML toolsets (e.g., AWS SageMaker Ground Truth, Azure Custom Vision). Knowledge of computer vision models and their data requirements. Experience managing annotation teams or quality control processes. Additional Details: This role is classified More ❯

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 ❯

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 ❯

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 ❯