Remote Amazon SageMaker Jobs in the UK

1 to 4 of 4 Amazon SageMaker Jobs in the UK with Remote Work Options

Senior Machine Learning Engineer

South East London, London, United Kingdom
Hybrid / WFH Options
Stepstone UK
models to build a better future where a new job is just a click away. Your responsibilities: Implement and productionise ML-based services using Sagemaker Collaborate with Data Scientists to design and implement LLM-based inference workflows Utilize IaC and CI/CD best practices to increase efficiency in … years of experience in Machine Learning Engineering, Data Engineering, or a related field Proficiency in production-level Python (Clean, SOLID) and industry experience with Amazon Sagemaker deployment of LLMs Experience with LLM-related packages, such as PyTorch, Transformers etc. Experience with IaC (Terraform), CI/CD, and test more »
Employment Type: Permanent, Work From Home
Posted:

Senior Data Engineer (Machine Learning)

Luton, England, United Kingdom
Hybrid / WFH Options
Ventula Consulting
engineering practices sch as CI/CD. Experience deploying/monitoring machine learning models and following best practices. The Ability to develop pipelines using SageMaker, MLFlow or similar frameworks. Strong experience with data programming frameworks such as Apache Spark. Understanding of common Data Science and Machine Learning models, libraries more »
Posted:

Lead Data Scientist

Durham, County Durham, North East, United Kingdom
Hybrid / WFH Options
Reed Technology
leading a data science team and managing complex projects. Expertise in machine learning, statistics, data management, and relevant technologies (e.g., Python, R, SQL, AWS SageMaker, Apache Airflow, Dbt, AWS Kinesis). Strong communication skills with the ability to explain complex data concepts to a non-technical audience. Knowledge of more »
Employment Type: Permanent, Work From Home
Salary: £85,000
Posted:

Staff Machine Learning Engineer

London, United Kingdom
Hybrid / WFH Options
Stepstone UK
for everybody. Your responsibilities: Work together with the AI labs, Data, Infrastructure, and Platform teams to design and deploy ML-based services using AWS Sagemaker and other cloud based solutions. Analyse current AWS account setup for data scientists & MLEs and improve it together with StSt MLE & DevOps experts. Understand … Labs teams to advance current ML workflows and software development standards. Qualifications Your skills and qualifications Industry experience in AWS ML services, including AWS Sagemaker Experience in DevOps, Cloud Operations, ML-engineering, AWS administration and permission management. Expertise with building enterprise scale ML & LLM solutions, Docker, IaC (Terraform), CI more »
Employment Type: Permanent, Work From Home
Posted:
Amazon SageMaker
10th Percentile
£52,500
25th Percentile
£78,125
Median
£98,750
75th Percentile
£120,000
90th Percentile
£123,750