151 to 175 of 181 Remote Amazon SageMaker Jobs

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

miss your chance to secure the future of your career! Contact me @ (url removed) or on (phone number removed). Data Science, Data Scientist, AI, ML, Random Forest, Databricks, SageMaker, Regression, Gradient Boosting, NLP, Palantir, Insurance, Banking More ❯

various coding languages to build scalable, robust and efficient models Hands-on proven experience as a Full Stack Developer or similar role, with experience working on Snowflake, Python, AWS-Sagemaker, React, DevOps and Git Familiarity with RESTful APIs and microservices architecture Knowledge of Software Testing framework and practices Hours 35 Job Posting Closing Date: 20/06/ More ❯

various coding languages to build scalable, robust and efficient models Hands-on proven experience as a Full Stack Developer or similar role, with experience working on Snowflake, Python, AWS-Sagemaker, React, DevOps and Git Familiarity with RESTful APIs and microservices architecture Knowledge of Software Testing framework and practices Hours 35 Job Posting Closing Date: 20/06/ 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 ❯

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 ❯

training (data and model parallelism). Experience working on biological data curation, including data cleansing and preprocessing of -omics datasets. Exposure to cloud-based ML orchestration frameworks such as Sagemaker and Vertex AI. Experience with model deployment in an enterprise setting. For immediate consideration please send your most up to date CV to jason@enigma-rec.ai Seniority level : Mid More ❯

libraries like XGBoost, Prophet, PyTorch, Scikit-learn Deep knowledge of MLOps , reproducibility practices, and scalable experimentation Experience deploying models with CI/CD pipelines, containerisation , and cloud tools (e.g., SageMaker, Vertex AI, GCP pipelines ) Strong data engineering instincts - including building and optimising ETL processes for large, structured and unstructured datasets Exceptional collaboration skills with the ability to influence both More ❯

Contract AWS Solutions Architect/Engineer Day rate - D.O.E UK Wide Fully Remote (Must be UK based) Fruition Group are helping one of the highest regarded AWS Consultancies in the UK look for multiple AWS Architects/AWS Engineers to More ❯

Contract AWS Solutions Architect/Engineer Day rate - D.O.E UK Wide Fully Remote (Must be UK based) Fruition Group are helping one of the highest regarded AWS Consultancies in the UK look for multiple AWS Architects/AWS Engineers to More ❯

and deliver measurable improvements. Build and Maintain Scalable Production AI Infrastructure: Architect and manage robust AI infrastructure, integrating models into our platform and ensuring seamless data flow using AWS SageMaker/Vertex AI. Evaluate and Implement Emerging Technologies: Research and implement cutting-edge AI technologies, including generative AI and reinforcement learning, to enhance platform capabilities and drive innovation. Build … about emerging technologies (e.g., generative AI, reinforcement learning) and rapidly evaluates their pros/cons for practical applications. Proven expertise in building and deploying machine learning models using AWS SageMaker/Vertex AI. Experience with ML frameworks such as PyTorch or TensorFlow. Experience with cloud based API's such as OpenAI APIs or Hugging Face. Excellent communication skills and More ❯

marketing Take ownership of high-impact projects, with room to grow into a leadership or principal IC role Dedicated time for your own learning & development (10-15%) Python (incl. SageMaker) SQL About You: Strong experience in analytics with a statistical foundation (Maths, Stats, Econ or similar background) Confident communicator with the ability to influence senior stakeholders Comfortable across both More ❯

data extraction ● Deploying models using cloud-based platforms for scalability Key skills we're looking for: ● Strong Python expertise ● Hands-on experience with statistical modelling techniques ● Familiarity with AWS SageMaker, Databricks, and similar tools ● Proficiency in NLP techniques (e.g., text extraction, classification) ● Prior experience deploying predictive models in the insurance domain If this sounds like you, or someone you More ❯

data extraction ● Deploying models using cloud-based platforms for scalability Key skills we're looking for: ● Strong Python expertise ● Hands-on experience with statistical modelling techniques ● Familiarity with AWS SageMaker, Databricks, and similar tools ● Proficiency in NLP techniques (e.g., text extraction, classification) ● Prior experience deploying predictive models in the insurance domain If this sounds like you, or someone you More ❯

data extraction ● Deploying models using cloud-based platforms for scalability Key skills we're looking for: ● Strong Python expertise ● Hands-on experience with statistical modelling techniques ● Familiarity with AWS SageMaker, Databricks, and similar tools ● Proficiency in NLP techniques (e.g., text extraction, classification) ● Prior experience deploying predictive models in the insurance domain If this sounds like you, or someone you More ❯

ownership of high-impact projects, with room to grow into a leadership or principal IC role Dedicated time for your own learning & development (10-15%) Tech Stack: Python (incl. SageMaker) SQL Statistical modelling (regression, KMM, experimentation design) About You: Strong experience in analytics with a statistical foundation (Maths, Stats, Econ or similar background) Confident communicator with the ability to More ❯

and guiding organisations through early-stage discovery. Desirable: Certifications in Data Architecture, Governance, or Cloud. Experience working with or implementing DDOM frameworks. Understanding of ML Ops tools (e.g., MLflow, SageMaker, Kubeflow) and data privacy regulations (GDPR, CCPA). More ❯

prototyping Hands-on experience with vector search, semantic embeddings, and retrieval systems Solid understanding of LLMs and modern GenAI system architectures Experience with model deployment frameworks (e.g. Ray, MLFlow, SageMaker, custom infra) Excellent communication skills and ability to work cross-functionally in a fast-moving environment Experience with multilingual or accessibility-focused NLP Familiarity with content generation or authoring More ❯

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use . More ❯