At a Glance
- Tasks: Develop and optimise machine learning models for secure authentication systems.
- Company: Join Smartnumbers, a leader in fraud prevention technology.
- Benefits: Enjoy a competitive salary and comprehensive benefits package.
- Other info: Collaborative environment with opportunities to innovate and grow.
- Why this job: Make a real impact in fraud prevention while working with cutting-edge technology.
- Qualifications: 2-3 years of platform engineering experience and strong coding skills in Python and SQL.
The predicted salary is between 70000 - 90000 £ per year.
Smartnumbers is seeking a skilled Machine Learning Engineer to join their team in London. In this role, you will develop and optimize machine learning models for authentication systems, ensuring efficient and secure processes. You will work collaboratively across data science and engineering tasks, utilizing AWS services and contributing to innovative fraud prevention technologies.
Ideal candidates should have 2-3 years of experience in platform engineering, strong coding skills, especially in Python and SQL, and a solid understanding of machine learning algorithms and practices. A competitive salary and a comprehensive benefits package are offered.
Real-Time ML Engineer, Fraud Intelligence Platform employer: Smartnumbers
Smartnumbers is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets purpose. With a strong commitment to employee growth, we provide extensive professional development opportunities, a hybrid working model, and a comprehensive benefits package that includes health insurance, generous leave policies, and wellbeing support. Join us in our mission to combat fraud while enjoying a collaborative culture that values diversity and fosters teamwork.
