Machine Learning EngineerEdinburgh (remote)
£50,000-£65,000
About the Company:
Our client is a visionary network intelligence company at the forefront of developing a cutting-edge deep traffic analysis platform for mobile network operators. Their innovative solutions help reduce operational costs, optimize energy consumption, and enhance user experiences. Recently recognized as an AI Visionary and one of the top 100 AI companies in 2022, this startup is driving transformative change in the telecom industry.
Role Overview:
We are seeking an enthusiastic Machine Learning Engineer to join our team and work on designing, training, testing, and integrating industry-grade machine learning models for deep mobile network traffic analysis. You will expand our portfolio of neural network architectures for traffic forecasting, anomaly prediction, and decomposition, collaborating with other ML engineers and receiving guidance from senior leadership.
Key Responsibilities for a Machine Learning Engineer:
1. Develop and debug code in Python, utilizing deep learning frameworks like TensorFlow 2 and Keras
2. Perform in-depth data analysis tasks and design new neural architectures
3. Participate in code reviews, maintain codebase quality, and ensure feature sustainability
4. Investigate problems and devise solutions for large data sets