151 to 175 of 175 Amazon SageMaker Jobs

Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) We have several exciting new positions available for Machine Learning … Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) This is your chance to contribute to an innovative, technically More ❯

Senior Software Development Engineer - GenAI, Amazon Ads - Creative X Job ID: Amazon Development Centre (Scotland) Limited - A64 How can Amazon improve the advertising experience for customers around the world? How can we help advertisers and customers find each other in a meaningful way? Amazon Ads creates … If you are passionate about developing analytical solutions to solve business problems and are looking for a team that drives results to help influence Amazon business decisions, this is the right place for you. Our team is looking for a Senior Software Engineer who can help us to build … researchers and scientists to transform novel research into production systems. You have experience or are interested in learning about the use of AWS Bedrock, SageMaker, and custom MLOps tools You deliver quickly and incrementally. You may not have the perfect solution out of the gate, but you iterate based More ❯

Job ID: 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 traditional risk management expertise with advanced analytics, utilizing technology and automation to significantly enhance risk identification, assessment, and response capabilities. Key responsibilities include designing robust data integration systems, implementing predictive risk models, and driving technological innovation to ensure risk insights are timely … 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 More ❯

tools. · Experience with containerization, image building, and deployment (e.g., Docker, Kubernetes optional). Cloud & Infrastructure: · Hands-on experience with AWS services for ML workloads (SageMaker, EC2, EKS, etc.) or equivalent services in Azure/GCP. · Ability to manage cloud infrastructure to ensure high availability, scalability, and cost efficiency. Nice … to-Have · Experience with ML orchestration platforms like MLflow, SageMaker Pipelines, Kubeflow, or similar. · Familiarity with model quantization, pruning, or other performance optimization techniques. · Exposure to distributed training frameworks like Unsloth, DeepSpeed, Accelerate, or FSDP. More ❯

tools. · Experience with containerization, image building, and deployment (e.g., Docker, Kubernetes optional). Cloud & Infrastructure: · Hands-on experience with AWS services for ML workloads (SageMaker, EC2, EKS, etc.) or equivalent services in Azure/GCP. · Ability to manage cloud infrastructure to ensure high availability, scalability, and cost efficiency. Nice … to-Have · Experience with ML orchestration platforms like MLflow, SageMaker Pipelines, Kubeflow, or similar. · Familiarity with model quantization, pruning, or other performance optimization techniques. · Exposure to distributed training frameworks like Unsloth, DeepSpeed, Accelerate, or FSDP. More ❯

tools. · Experience with containerization, image building, and deployment (e.g., Docker, Kubernetes optional). Cloud & Infrastructure: · Hands-on experience with AWS services for ML workloads (SageMaker, EC2, EKS, etc.) or equivalent services in Azure/GCP. · Ability to manage cloud infrastructure to ensure high availability, scalability, and cost efficiency. Nice … to-Have · Experience with ML orchestration platforms like MLflow, SageMaker Pipelines, Kubeflow, or similar. · Familiarity with model quantization, pruning, or other performance optimization techniques. · Exposure to distributed training frameworks like Unsloth, DeepSpeed, Accelerate, or FSDP. 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 ❯

Senior Software Development Engineer - GenAI, Amazon Ads - Creative X DESCRIPTION Shape the future of Generative AI at Amazon! Join our team building the infrastructure and platforms that power next-generation AI capabilities used by thousands of developers across Amazon's products and services. Be part of a … and scalability. Key Highlights: Work directly with AI researchers and scientists to transform innovative ideas into production systems Build and own critical infrastructure powering Amazon's next-generation AI capabilities Create developer platforms and tools that accelerate AI innovation Drive the future of ethical and sustainable AI development Work … with advanced technologies including AWS Bedrock, SageMaker, and custom MLOps tools What You'll Do: Design and implement scalable, production-ready AI infrastructure and platforms Create intuitive tools and interfaces for AI model deployment and management Build robust APIs and services that enable AI capabilities across Amazon Collaborate More ❯

achieving desired outcomes. Key job responsibilities Expertise: Collaborate with pre-sales and delivery teams to help partners and customers utilize services like AWS Glue, Amazon S3, DynamoDB, RDS, EMR, Kinesis, Redshift, Athena, Lake Formation, DataZone, SageMaker, Quicksight, and Bedrock. Solutions: Support pre-sales and technical engagements, understanding customer … qualifications AWS Professional level certification 10+ years of IT platform implementation in technical and analytical roles Acknowledgement of Country: In the spirit of reconciliation, Amazon acknowledges the Traditional Custodians of land across Australia and pays respect to their elders past and present. IDE Statement: Amazon is an equal More ❯

Senior Data Scientist – 6 Month Contract Remote - £525 - 575/day Inside IR35 Spinks are partnered with a leading UK Consultancy who are looking for an experienced Data Scientist to join on an exciting project in the early stages of More ❯

Senior Data Scientist – 6 Month Contract Remote - £525 - 575/day Inside IR35 Spinks are partnered with a leading UK Consultancy who are looking for an experienced Data Scientist to join on an exciting project in the early stages of More ❯

Senior Data Scientist – 6 Month Contract Remote - £525 - 575/day Inside IR35 Spinks are partnered with a leading UK Consultancy who are looking for an experienced Data Scientist to join on an exciting project in the early stages of More ❯

Principal Data Scientist - 6 Month Contract Remote - £525 - 575/day Inside IR35 Spinks are partnered with a leading UK Consultancy who are looking for an experienced Data Scientist to join on an exciting project in the early stages of More ❯

Principal Data Scientist - 6 Month Contract Remote - £(Apply online only)/day Inside IR35 Spinks are partnered with a leading UK Consultancy who are looking for an experienced Data Scientist to join on an exciting project in the early stages More ❯

Delivery Consultant - Data & Analytics, Professional Services The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet … of experience with direct customer (internal or external) interaction with responsibilities in AI/ML/GenAI solutions design, architecture and implementation (AmazonQ, Bedrock, Sagemaker as a Product and Data Governance including Data quality and controls, etc.) A minimum of 3 years working experience in ASEAN region, and ability … please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race More ❯

here and are encouraged to use it. Your experience and career development is in your hands. We live our leadership principles every day. At Amazon, it's always "Day 1". About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of … 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 … business development - Extensive Domain knowledge of AI from a business level perspective - Bachelor's degree PREFERRED QUALIFICATIONS - Experience with AWS AI/ML services (SageMaker, Bedrock, CodeWhisperer, etc.) - Entrepreneruship/startup experience - Experience speaking at conferences and events - Experience in consulting or working for large, complex organisations Amazon More ❯

how we built the world's most adopted cloud. Join us and help us grow. Do you want to own driving the adoption of Amazon Web Services (AWS) in ANZ's largest and most innovative companies? Want to be part of a cross-functional team focused on increasing technology … computing by engaging directly with C-level executives and influencers at all levels? As part of a single-threaded team focusing on AI & ML (SageMaker, Bedrock and Amazon Q), you will be working with enterprise, digital native, startup and ISV customers and their existing account representatives to qualify More ❯

driven decisions. Key job responsibilities Expertise: Collaborate with pre-sales and delivery teams to help partners and customers utilize AWS services like AWS Glue, Amazon S3, DynamoDB, RDS, EMR, Kinesis, Redshift, Athena, Lake Formation, DataZone, SageMaker, Quicksight, and Bedrock. Solutions: Deliver technical engagements including pre-sales visits, understanding … do not meet all preferred qualifications, we encourage you to apply. We welcome candidates at different career stages and with various paths. Why AWS? Amazon Web Services is the world's leading cloud platform, pioneering cloud computing and continuously innovating. Our services power startups to Fortune 500 companies worldwide. … in designing and deploying cloud-based business software or infrastructure including network, compute, storage, and virtualization Acknowledgement of country In the spirit of reconciliation, Amazon acknowledges the Traditional Custodians of land across Australia and pays respect to their elders past and present. IDE statement Amazon is an equal More ❯

ML solutions, ensuring seamless production integration and measurable impact on business metrics. Continuously enhance model performance through retraining, parameter tuning, and architecture improvements using Amazon's extensive data resources. Lead initiatives, mentor junior scientists and engineers, and promote the adoption of ML methodologies across teams. Stay abreast of advancements … or journals - 3+ years of hands-on predictive modeling and large data analysis experience - Experience working with large-scale distributed systems such as Spark, Sagemaker or similar frameworks Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a … process, please visit here for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race More ❯

You will need to login before you can apply for a job. View more categories View less categories Sector Engineering Role Manager Contract Type Permanent Hours Full Time Package Description Job Title: Engineering Manager Job Reference: 22697 Band: E Salary More ❯

Press Tab to Move to Skip to Content Link Choose how often (in days) you would like to receive job alerts by email: Software Engineering Permanent - Full Time Newcastle-upon-Tyne, GB, NE991RN London, GB, W1A 1AA Salford, GB, M50 More ❯

As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive … and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. … tackle a huge new problem space. You'll be an integral part of testing the app built by services that leverage AWS technologies like SageMaker, Forecast, Athena, QuickSight, Glue, Bedrock, ML and more. As a QA member of the team, you'll wear many hats. You'll help design More ❯

seeking a forward-thinking Machine Learning Engineer to drive our predictive modeling capabilities. Key Responsibilities Design and deploy advanced machine learning models using AWS SageMaker Architect robust ML infrastructure and production pipelines Implement model management strategies with MLflow/Metaflow Develop sophisticated time series forecasting solutions Leverage containerization technologies … deploying ML models in production environments Experience having used ML pipeline orchestration tools, like Airflow, Metaflow, Prefect, Dagster, BentoML - Essential* Advanced skills in AWS SageMaker , cloud-based ML infrastructure Expert-level understanding of time series data modeling Proficiency in containerization (Docker) Strong capabilities with AWS CDK( or Terraform) and … workflow management tools Tech Stack: AWS SageMaker, MLflow, Metaflow, Docker, Time Series Modeling More ❯

seeking a forward-thinking Machine Learning Engineer to drive our predictive modeling capabilities. Key Responsibilities Design and deploy advanced machine learning models using AWS SageMaker Architect robust ML infrastructure and production pipelines Implement model management strategies with MLflow/Metaflow Develop sophisticated time series forecasting solutions Leverage containerization technologies … deploying ML models in production environments Experience having used ML pipeline orchestration tools, like Airflow, Metaflow, Prefect, Dagster, BentoML - Essential* Advanced skills in AWS SageMaker , cloud-based ML infrastructure Expert-level understanding of time series data modeling Proficiency in containerization (Docker) Strong capabilities with AWS CDK( or Terraform) and … workflow management tools Tech Stack: AWS SageMaker, MLflow, Metaflow, Docker, Time Series Modeling More ❯

seeking a forward-thinking Machine Learning Engineer to drive our predictive modeling capabilities. Key Responsibilities Design and deploy advanced machine learning models using AWS SageMaker Architect robust ML infrastructure and production pipelines Implement model management strategies with MLflow/Metaflow Develop sophisticated time series forecasting solutions Leverage containerization technologies … deploying ML models in production environments Experience having used ML pipeline orchestration tools, like Airflow, Metaflow, Prefect, Dagster, BentoML - Essential* Advanced skills in AWS SageMaker, cloud-based ML infrastructure Expert-level understanding of time series data modeling Proficiency in containerization (Docker) Strong capabilities with AWS CDK(or Terraform) and … workflow management tools Tech Stack: AWS SageMaker, MLflow, Metaflow, Docker, Time Series Modeling More ❯