Senior Machine Learning Engineer

About the Role

Our client is seeking a highly skilled Senior Machine Learning Engineer to join their dynamic team in Newcastle upon Tyne . This role is central to developing and deploying sophisticated machine learning models that drive business innovation and enhance customer experiences. You will work on challenging problems, leveraging large datasets and state-of-the-art techniques to build scalable, production-ready ML solutions. The position offers a hybrid working model, providing flexibility while fostering team collaboration and mentorship within a forward-thinking technology company.

Key Responsibilities

• Design, develop, and implement machine learning models and algorithms for various applications.
• Build and maintain robust data pipelines for training and evaluating ML models.
• Optimize ML models for performance, scalability, and production deployment.
• Collaborate with data scientists, software engineers, and product managers to integrate ML solutions.
• Monitor and maintain deployed ML systems, ensuring reliability and accuracy.
• Stay abreast of the latest advancements in machine learning and artificial intelligence.

Requirements

• Master's degree or PhD in Computer Science, Statistics, Machine Learning, or a related quantitative field.
• 5+ years of professional experience in machine learning engineering.
• Strong proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with cloud platforms (AWS, Azure, or GCP) and MLOps practices.
• Solid understanding of data structures , algorithms, and software design principles.
• Experience in deploying and scaling machine learning models in production environments.

Benefits

• Competitive annual salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Hybrid work arrangement offering a blend of office and remote flexibility.
• Generous holiday allowance and company pension scheme.
• Opportunities for professional growth and development.