Lead ML Engineer: Personalised Recommendations & Scalable ML

Sky UK; Hilcote; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading telecommunications company in the United Kingdom is seeking a highly skilled Lead Machine Learning Engineer to enhance personalised recommendation systems. The successful candidate will design, train, and optimise machine learning models focused on user personalisation while working closely with data scientists and engineers. This role involves constructing and maintaining data pipelines, deploying ML models in production, and leading A/B testing initiatives. Ideal candidates have advanced Python skills and knowledge of ML frameworks like TensorFlow and PyTorch.

Qualifications

• Advanced proficiency in Python and knowledge of ML libraries/frameworks.
• Experience using ML Training frameworks and Model Serving technologies.
• Strong understanding of recommendation system design and personalisation algorithms.

Responsibilities

• Design, train, and optimise machine learning models for user personalisation.
• Construct and maintain robust and scalable data pipelines.
• Deploy and supervise ML models in production environments.
• Lead the design and analysis of A/B tests and offline experiments.

Skills

Advanced proficiency in Python

Knowledge of ML libraries/frameworks (TensorFlow, PyTorch)

Strong understanding of recommendation system design

Exceptional communication and analytical problem-solving skills

Tools

TFX

Kubeflow Pipelines SDK

TensorFlow Serving

Triton

TorchServe

Job description

A leading telecommunications company in the United Kingdom is seeking a highly skilled Lead Machine Learning Engineer to enhance personalised recommendation systems. The successful candidate will design, train, and optimise machine learning models focused on user personalisation while working closely with data scientists and engineers. This role involves constructing and maintaining data pipelines, deploying ML models in production, and leading A/B testing initiatives. Ideal candidates have advanced Python skills and knowledge of ML frameworks like TensorFlow and PyTorch.