Remote Amazon SageMaker Jobs in the UK excluding London

8 of 8 Remote Amazon SageMaker Jobs in the UK excluding London

Machine Learning Engineer

london, south east england, united kingdom
Hybrid / WFH Options
Experis UK
scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. More ❯
Posted:

Machine Learning Engineer

london (city of london), south east england, united kingdom
Hybrid / WFH Options
Experis UK
scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. More ❯
Posted:

Machine Learning Engineer

slough, south east england, united kingdom
Hybrid / WFH Options
Experis UK
scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. More ❯
Posted:

Machine Learning Engineer

london, south east england, united kingdom
Hybrid / WFH Options
Rightmove
with Python – essential. Has hands-on experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn). Is experienced with cloud platforms (ideally GCP: BigQuery, Vertex AI, Dataflow), but AWS/SageMaker or similar is also valued. Has operated in distributed computing environments, working with large datasets and parallelized processing. Can communicate technical concepts and trade-offs to both technical and More ❯
Posted:

Machine Learning Engineer

hertfordshire, east anglia, united kingdom
Hybrid / WFH Options
Rightmove
with Python – essential. Has hands-on experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn). Is experienced with cloud platforms (ideally GCP: BigQuery, Vertex AI, Dataflow), but AWS/SageMaker or similar is also valued. Has operated in distributed computing environments, working with large datasets and parallelized processing. Can communicate technical concepts and trade-offs to both technical and More ❯
Posted:

Machine Learning Engineer

buckinghamshire, south east england, united kingdom
Hybrid / WFH Options
Rightmove
with Python – essential. Has hands-on experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn). Is experienced with cloud platforms (ideally GCP: BigQuery, Vertex AI, Dataflow), but AWS/SageMaker or similar is also valued. Has operated in distributed computing environments, working with large datasets and parallelized processing. Can communicate technical concepts and trade-offs to both technical and More ❯
Posted:

Senior Machine Learning Engineer

South East London, London, United Kingdom
Hybrid / WFH Options
Stepstone UK
Python Experience with machine learning, familiar with Huggingface, Pytorch, and similar ML tools and packages Familiarity with deploying and scaling ML models in the cloud, particularly with AWS and SageMaker Understanding of DevOps processes and tools: CI/CD, Docker, Terraform, and monitoring/observability Bonus: experience with vector databases, semantic search, or event-driven systems like Kafka Additional More ❯
Employment Type: Permanent, Work From Home
Posted:

Machine Learning Engineer

london, south east england, united kingdom
Hybrid / WFH Options
Compare the Market
Looking For Must Have Practical experience deploying ML models into production environments Strong Python development skills and understanding of ML model structures Familiarity with tools such as MLflow, Airflow, SageMaker, or Vertex AI Understanding of CI/CD concepts and basic infrastructure automation Ability to write well-tested, maintainable, and modular code Strong collaboration skills and a growth mindset More ❯
Posted:
Amazon SageMaker
the UK excluding London
10th Percentile
£38,750
25th Percentile
£49,375
Median
£71,000
75th Percentile
£95,000