Senior ML Engineer: Design, Train & Deploy Models

Featmate; United Kingdom; Remote; GBP 45,000 - 55,000; Part time

Job summary

A social media platform in the United Kingdom is seeking a Senior Machine Learning Engineer to develop and deploy a predictive modeling system that enhances user engagement. The role involves end-to-end ownership of data preprocessing, model development, deployment, and monitoring using best MLOps practices. Candidates must have 6-8 years of experience and expertise in Python and machine learning libraries. This is an exciting opportunity to leverage data for growth and improve user experience.

Qualifications

• 6-8 years of experience in Machine Learning Engineering or related field.
• Proven track record of deploying ML models in live production.

Responsibilities

• Clean and prepare data for the model.
• Build, train, and evaluate a robust machine learning model.
• Deploy the model using MLOps best practices.
• Implement monitoring to track model performance and data drift.

Skills

Python

Machine learning libraries (Scikit-learn, TensorFlow, PyTorch)

Cloud platforms (AWS, GCP, Azure)

MLOps principles and tools (Kubeflow, SageMaker, MLflow)

Large datasets and distributed systems

Job description

A social media platform in the United Kingdom is seeking a Senior Machine Learning Engineer to develop and deploy a predictive modeling system that enhances user engagement. The role involves end-to-end ownership of data preprocessing, model development, deployment, and monitoring using best MLOps practices. Candidates must have 6-8 years of experience and expertise in Python and machine learning libraries. This is an exciting opportunity to leverage data for growth and improve user experience.