Real-Time ML Engineer, Fraud Intelligence Platform

Smartnumbers; Greater London; Hybrid; GBP 49,500 - 60,500; Full time

Benefits offered by this job

Hybrid working style

Health insurance

Pension plan

Annual bonus potential

Self-development time

25 days annual leave

Job summary

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.

Qualifications

• 2-3 years’ experience in platform engineering and data science responsibilities.
• Proficient in Python and SQL, with knowledge of ML frameworks.
• Experience with cloud services and infrastructure as code.

Responsibilities

• Develop ML models for cloud-based authentication and fraud systems.
• Engineer datasets and develop data pipelines.
• Manage machine learning platforms using AWS services.

Skills

Machine Learning fundamentals

Python

SQL

DevOps/MLOps practices

Data Analysis

Education

2-3 years of commercial experience in platform engineering

Tools

AWS

Scikit-Learn

Pandas

Job description

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.