Amazon SageMaker Jobs in the South East

4 of 4 Amazon SageMaker Jobs in the South East

BI Analyst

Oxford, Oxfordshire, England, United Kingdom
Hybrid / WFH Options
Oscar Technology
SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable): Azure ML, AWS Sagemaker, HuggingFace, OpenAI APIs Version Control & DevOps : Git, Azure DevOps, GitHub Actions What We're Looking For Essential 2+ years' experience in a BI, data analyst, or similar analytics role More ❯
Employment Type: Full-Time
Salary: £35,000 - £50,000 per annum
Posted:

BI Analyst

Milton Keynes, Buckinghamshire, England, United Kingdom
Hybrid / WFH Options
Oscar Technology
SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable): Azure ML, AWS Sagemaker, HuggingFace, OpenAI APIs Version Control & DevOps : Git, Azure DevOps, GitHub Actions What We're Looking For Essential 2+ years' experience in a BI, data analyst, or similar analytics role More ❯
Employment Type: Full-Time
Salary: £35,000 - £50,000 per annum
Posted:

Senior Platform Engineer

South East, United Kingdom
Hybrid / WFH Options
Anson Mccade
into DV and undertake occasional overseas assignments • Strong team player with a proactive mindset, eager to shape new delivery teams Desirable Skills • Exposure to cloud ML platforms (e.g., AWS Sagemaker, Azure ML) • Experience deploying data/API services and microservice architectures • Previous consulting or defence/national security sector experience • Familiarity with Ansible or similar configuration management tooling Package More ❯
Employment Type: Permanent, Work From Home
Posted:

AI Engineer

London, South East, England, United Kingdom
Hybrid / WFH Options
Robert Half
TensorFlow, PyTorch, or Hugging Face Solid understanding of machine learning fundamentals and performance evaluation techniques Experience working in cloud platforms (AWS, GCP, or Azure) with MLOps tools (e.g. MLflow, SageMaker, Vertex AI) Comfortable working independently and delivering high-quality work to tight timelines Experience working in fast-paced environments or scale-up settings Company Market leading financial services (fintech More ❯
Employment Type: Contractor
Rate: Salary negotiable
Posted:
Amazon SageMaker
the South East
25th Percentile
£38,750
Median
£42,500
75th Percentile
£46,250