Remote Amazon SageMaker Job Vacancies

51 to 75 of 448 Remote Amazon SageMaker Jobs

Senior Data Scientist / AI Engineer

Norwich, England, United Kingdom
Hybrid / WFH Options
JR United Kingdom
the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure More ❯
Posted:

Senior Data Scientist / AI Engineer

Doncaster, England, United Kingdom
Hybrid / WFH Options
JR United Kingdom
the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure More ❯
Posted:

Senior Data Scientist / AI Engineer

Dartford, England, United Kingdom
Hybrid / WFH Options
JR United Kingdom
the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure More ❯
Posted:

Senior Data Scientist / AI Engineer

Telford, England, United Kingdom
Hybrid / WFH Options
JR United Kingdom
the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure More ❯
Posted:

Senior Data Scientist / AI Engineer

Portsmouth, England, United Kingdom
Hybrid / WFH Options
JR United Kingdom
the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure More ❯
Posted:

Senior Data Scientist / AI Engineer

Hemel Hempstead, England, United Kingdom
Hybrid / WFH Options
JR United Kingdom
the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure More ❯
Posted:

Senior Data Scientist / AI Engineer

High Wycombe, England, United Kingdom
Hybrid / WFH Options
JR United Kingdom
the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure More ❯
Posted:

Senior Data Scientist / AI Engineer

Belfast, Northern Ireland, United Kingdom
Hybrid / WFH Options
JR United Kingdom
the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure More ❯
Posted:

Senior Data Scientist / AI Engineer

Milton Keynes, England, United Kingdom
Hybrid / WFH Options
JR United Kingdom
the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure More ❯
Posted:

Senior Data Scientist / AI Engineer

Swindon, England, United Kingdom
Hybrid / WFH Options
JR United Kingdom
the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure More ❯
Posted:

Senior Data Scientist / AI Engineer

Sheffield, England, United Kingdom
Hybrid / WFH Options
JR United Kingdom
the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure More ❯
Posted:

Senior Data Scientist / AI Engineer

Leeds, England, United Kingdom
Hybrid / WFH Options
JR United Kingdom
the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure More ❯
Posted:

Senior Data Scientist / AI Engineer

Stoke-on-Trent, England, United Kingdom
Hybrid / WFH Options
JR United Kingdom
the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure More ❯
Posted:

Senior Data Scientist / AI Engineer

Newcastle upon Tyne, England, United Kingdom
Hybrid / WFH Options
JR United Kingdom
the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure More ❯
Posted:

Senior Data Scientist / AI Engineer

Hull, England, United Kingdom
Hybrid / WFH Options
JR United Kingdom
the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure More ❯
Posted:

Backend Python & AI Engineer

City of London, London, United Kingdom
Hybrid / WFH Options
SR2 | Socially Responsible Recruitment | Certified B Corporation™
CI/CD pipelines, and test-driven development. Nice to Have: Experience within financial services or fintech. Familiarity with MLOps tools (e.g., MLflow, Kubeflow, SageMaker). Understanding of regulatory or compliance frameworks. Academic background in mathematics, statistics, or quantitative disciplines. Who You Are: A natural problem-solver and independent More ❯
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Backend Python & AI Engineer

London Area, United Kingdom
Hybrid / WFH Options
SR2 | Socially Responsible Recruitment | Certified B Corporation™
CI/CD pipelines, and test-driven development. Nice to Have: Experience within financial services or fintech. Familiarity with MLOps tools (e.g., MLflow, Kubeflow, SageMaker). Understanding of regulatory or compliance frameworks. Academic background in mathematics, statistics, or quantitative disciplines. Who You Are: A natural problem-solver and independent More ❯
Posted:

Backend Python & AI Engineer

london, south east england, united kingdom
Hybrid / WFH Options
SR2 | Socially Responsible Recruitment | Certified B Corporation™
CI/CD pipelines, and test-driven development. Nice to Have: Experience within financial services or fintech. Familiarity with MLOps tools (e.g., MLflow, Kubeflow, SageMaker). Understanding of regulatory or compliance frameworks. Academic background in mathematics, statistics, or quantitative disciplines. Who You Are: A natural problem-solver and independent More ❯
Posted:

Backend Python & AI Engineer

london (city of london), south east england, united kingdom
Hybrid / WFH Options
SR2 | Socially Responsible Recruitment | Certified B Corporation™
CI/CD pipelines, and test-driven development. Nice to Have: Experience within financial services or fintech. Familiarity with MLOps tools (e.g., MLflow, Kubeflow, SageMaker). Understanding of regulatory or compliance frameworks. Academic background in mathematics, statistics, or quantitative disciplines. Who You Are: A natural problem-solver and independent More ❯
Posted:

Backend Python & AI Engineer

slough, south east england, united kingdom
Hybrid / WFH Options
SR2 | Socially Responsible Recruitment | Certified B Corporation™
CI/CD pipelines, and test-driven development. Nice to Have: Experience within financial services or fintech. Familiarity with MLOps tools (e.g., MLflow, Kubeflow, SageMaker). Understanding of regulatory or compliance frameworks. Academic background in mathematics, statistics, or quantitative disciplines. Who You Are: A natural problem-solver and independent More ❯
Posted:

Backend Python & AI Engineer

London, England, United Kingdom
Hybrid / WFH Options
SR2 | Socially Responsible Recruitment | Certified B Corporation™
CI/CD pipelines, and test-driven development. Nice to Have: Experience within financial services or fintech. Familiarity with MLOps tools (e.g., MLflow, Kubeflow, SageMaker). Understanding of regulatory or compliance frameworks. Academic background in mathematics, statistics, or quantitative disciplines. Who You Are: A natural problem-solver and independent More ❯
Posted:

Principal Data Scientist

Chester, England, United Kingdom
Hybrid / WFH Options
Forge Holiday Group Ltd
with ML engineering and MLOps practices Nice to have: Experience in setting or influencing data science strategy in a growing organisation Familiarity with AWS SageMaker and modern cloud-based ML workflows History of publications, open source contributions, or community involvement in the data science field MSc or PhD in More ❯
Posted:

AI Software Engineer

Belfast, United Kingdom
Hybrid / WFH Options
Nisos
in building RAG (Retrieval-Augmented Generation) systems at scale Strong experience with MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

AI Staff Engineer

Belfast, United Kingdom
Hybrid / WFH Options
Nisos Group
in building RAG (Retrieval-Augmented Generation) systems at scale Strong experience with MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Senior Data Scientist / AI Engineer

London, United Kingdom
Hybrid / WFH Options
Capgemini
the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms - demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:
Amazon SageMaker
10th Percentile
£50,625
25th Percentile
£57,813
Median
£72,500
75th Percentile
£95,000
90th Percentile
£98,125