Fraud-Fighting ML Engineer: Cloud & MLOps Specialist in London

Fraud-Fighting ML Engineer: Cloud & MLOps Specialist in London

London Full-Time 50000 - 65000 Β£ / year (est.) No working from home possible
Smartnumbers

At a Glance

  • Tasks: Develop and maintain cloud-based ML platforms while engineering data pipelines.
  • Company: Join Smartnumbers, a forward-thinking tech company in London.
  • Benefits: Enjoy competitive salary, hybrid working, health insurance, and generous leave.
  • Other info: Be part of a dynamic team with exciting growth opportunities.
  • Why this job: Make a difference in fraud-fighting with cutting-edge machine learning technologies.
  • Qualifications: Experience in machine learning, Python, SQL, and AWS services required.

The predicted salary is between 50000 - 65000 Β£ per year.

Smartnumbers is looking for a Machine Learning Engineer to join their team in London. The role involves developing and maintaining cloud-based machine learning platforms, engineering data pipelines, and ensuring model performance using AWS and various ML technologies.

Candidates should have experience in machine learning, proficiency in Python and SQL, and a good understanding of AWS services.

Smartnumbers offers a competitive salary and benefits including hybrid working, health insurance, and generous leave.

Fraud-Fighting ML Engineer: Cloud & MLOps Specialist in London employer: Smartnumbers

Smartnumbers is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, we provide ample opportunities for professional development alongside competitive salaries, hybrid working arrangements, and comprehensive health benefits, making it a rewarding place to advance your career in machine learning.

Smartnumbers

Contact Details:

Smartnumbers Recruitment Team

We think you need these skills to ace Fraud-Fighting ML Engineer: Cloud & MLOps Specialist in London

Python
Problem-Solving Skills
SQL
Data Engineering
Communication Skills
Data Pipeline Development
API Integration