Machine Learning Engineer

Machine Learning Engineer
Edinburgh (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:

• Develop and debug code in Python, utilizing deep learning frameworks like TensorFlow 2 and Keras
• Perform in-depth data analysis tasks and design new neural architectures
• Participate in code reviews, maintain codebase quality, and ensure feature sustainability
• Investigate problems and devise solutions for large data sets
• Prototype implementations of new architectures to solve specific challenges
• Document results in design documents and technical reports

Requirements for a Machine Learning Engineer:

• Strong mathematical/analytical skills and technical background in mobile networks
• Deep understanding of machine learning concepts, techniques, and optimization algorithms
• Experience with data visualization (matplotlib or similar)
• Proficiency in Git workflow and best coding practices
• Familiarity with cloud computing concepts
• Ability to read and summarize research papers
• Experience following a research methodology and creating experiments
• MSc or PhD in Artificial Intelligence, Computer Science, or equivalent
• Excellent communication and interpersonal skills

Nice to Have:

• Experience with other AI platforms, especially for reinforcement learning
• Knowledge of machine learning lifecycle management (MLOps)

If you are a driven and creative professional passionate about developing innovative AI solutions that revolutionize the telecom industry, click apply!

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.