51 to 75 of 137 Amazon SageMaker Jobs in England

full ML lifecycle Previous exposure to ambiguous or evolving problem spaces, ideally within consulting or client-facing environments Experience with AWS/Azure and SageMaker Clear and confident communicator, able to contribute to client conversations and work collaboratively with delivery teams Degree from a top university in a quantitative More ❯

full ML lifecycle Previous exposure to ambiguous or evolving problem spaces, ideally within consulting or client-facing environments Experience with AWS/Azure and SageMaker Clear and confident communicator, able to contribute to client conversations and work collaboratively with delivery teams Degree from a top university in a quantitative More ❯

technologies such as Java, LangGraph, knowledge graphs, vector search, and no/low-code frameworks. Familiarity with cloud platforms and tools such as AWS Sagemaker, Databricks, Snowflake, or similar. The role is based on a hybrid basis at their Central London office. More ❯

technologies such as Java, LangGraph, knowledge graphs, vector search, and no/low-code frameworks. Familiarity with cloud platforms and tools such as AWS Sagemaker, Databricks, Snowflake, or similar. The role is based on a hybrid basis at their Central London office. More ❯

technologies such as Java, LangGraph, knowledge graphs, vector search, and no/low-code frameworks. Familiarity with cloud platforms and tools such as AWS Sagemaker, Databricks, Snowflake, or similar. The role is based on a hybrid basis at their Central London office. #J-18808-Ljbffr More ❯

of overall Data and Analytics experience with Minimum 10+ years in AWS data platform including AWS S3, AWS Glue, AWS Redshift, AWS Athena, AWS Sagemaker, AWS Quicksight and AWS MLOPS Snowflake DWH architecture, Snowflake Data Sharing, Snowpipe, Polaris catalog and data governance (meta data/business catalogs). Knowledge More ❯

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 More ❯

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 More ❯

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 More ❯

deployed applications. Package and deploy ML models (including Hugging Face Transformers) as microservices on AWS. Build, train, and evaluate models using AWS tools like SageMaker, Bedrock, Glue, Athena, and Redshift. Develop secure APIs with Apigee and build automation pipelines using Jenkins, Maven, and more. Support the full ML lifecycle … with MLOps , from experimentation to deployment and monitoring. Strong grasp of ethical AI practices: model explainability, transparency, bias mitigation. Hands-on with AWS services (SageMaker, Glue, Redshift, Bedrock, Lambda, Fargate). Skilled in deploying and hosting microservices/APIs with Flask or FastAPI. Proficient in SQL, Git, Jupyter/… collaborating in a dynamic environment Tech Stack Languages & Frameworks: Python, R, SQL, Flask, FastAPI Tools: Hugging Face, Apigee, Jenkins, Git, RStudio, Jupyter Cloud: AWS (SageMaker, Glue, Athena, Redshift, Bedrock, ECS Fargate, Lambda) Please apply online for consideration. More ❯

deployed applications. Package and deploy ML models (including Hugging Face Transformers) as microservices on AWS. Build, train, and evaluate models using AWS tools like SageMaker, Bedrock, Glue, Athena, and Redshift. Develop secure APIs with Apigee and build automation pipelines using Jenkins, Maven, and more. Support the full ML lifecycle … with MLOps , from experimentation to deployment and monitoring. Strong grasp of ethical AI practices: model explainability, transparency, bias mitigation. Hands-on with AWS services (SageMaker, Glue, Redshift, Bedrock, Lambda, Fargate). Skilled in deploying and hosting microservices/APIs with Flask or FastAPI. Proficient in SQL, Git, Jupyter/… collaborating in a dynamic environment Tech Stack Languages & Frameworks: Python, R, SQL, Flask, FastAPI Tools: Hugging Face, Apigee, Jenkins, Git, RStudio, Jupyter Cloud: AWS (SageMaker, Glue, Athena, Redshift, Bedrock, ECS Fargate, Lambda) Please apply online for consideration. More ❯

working with large data sets with a mathematical and analytical mindset, they are looking for senior engineers to join the team working with AWS SageMaker for AI and ML as well as research and cleansing of data sets. More ❯

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 More ❯

familiarity with Java, LangGraph, MCP, Agentic Workflows, Knowledge Graphs, Vector search, and no/low-code frameworks. Familiarity with platforms like Microsoft OneLake, AWS Sagemaker, Databricks, and Snowflake. Work in a way that works for you We promote a healthy work/life balance with wellbeing initiatives, parental leave More ❯

cloud security for services and infrastructure. Experience with Kubernetes (K8S) is a plus. Cloud Expertise: Familiarity with AI infrastructure on AWS and GCP, including Sagemaker, Vertex, Triton, and GPU computing. LLM Deployment: Experience with local (cloud) deployment of OpenSource LLM, like LLAMA, DeepSeek. Bonus Points: Experience with Airbyte and More ❯

Supply Chain challenges? Do you have a desire to make a major contribution to the future, in the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a highly motivated, Data Scientist to help build scalable, predictive and prescriptive business analytics solutions that supports AWS Supply … with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates … 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 More ❯

Supply Chain challenges? Do you have a desire to make a major contribution to the future, in the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a highly motivated, Data Scientist to help build scalable, predictive and prescriptive business analytics solutions that supports AWS Supply … with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates … 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 More ❯

IoT and sensor data. Knowledge of PMML and ONNX model standards for portability. Experience with Teradata’s analytical products, cloud services like AzureML and Sagemaker, and partner products such as Dataiku and H2O. Strong programming skills in at least one major analytics language or tool besides SQL. What You More ❯

IoT and sensor data. Understanding of PMML and ONNX model portability standards. Experience with Teradata partner analytics products, cloud service providers like AzureML and Sagemaker, and partner products such as Dataiku and H2O. Strong programming skills in at least one major analytic language or tool besides SQL. What You More ❯

IoT and sensor data. Understanding of PMML and ONNX model portability standards. Experience with Teradata partner’s analytical products, cloud services like AzureML and Sagemaker, and partner products such as Dataiku and H2O. Strong programming skills in at least one major analytic language or tool in addition to SQL. More ❯

IoT and sensor data. Understanding of PMML and ONNX model portability standards. Experience with Teradata partner’s analytical products, cloud services like AzureML and Sagemaker, and partner products such as Dataiku and H2O. Strong programming skills in at least one major analytic language or tool besides SQL. What You More ❯

data. Understand the PMML and ONNX model portability standards. Have experience with Teradata partner's analytical products, Cloud Service providers such as AzureML and Sagemaker and partner products such as Dataiku and H2O. Have strong hands-on programming skills in at least one major analytic programming language and/ More ❯

data. Understand the PMML and ONNX model portability standards Have experience with Teradata partner’s analytical products, Cloud Service providers such as AzureML and Sagemaker and partner products such asDataiku and H2O Have strong hands-on programming skills in at least one major analytic programming language and/or More ❯

experience. Undergraduate degree or equivalent training and experience; a graduate degree is preferred. Experience with full-stack development and AWS services (S3, Redshift, Athena, SageMaker). Experience with GitHub, CI/CD platforms. Servant leadership qualities. Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About More ❯

Cloud Functions, Google BigQuery and Looker Create Solution architectures for Data Engineering and Analytics projects using AWS products like S3, Redshift, QuickSight and AWS SageMaker Build High performance scalable architecture presentations and generate SOW for customer Data Engineering and Analytics Projects Involve yourself in Pre-sales of Data Engineering More ❯