Machine Learning Engineer

About the Role

Our client is seeking a proactive and talented Machine Learning Engineer to join their growing team in Birmingham . This role involves developing and deploying machine learning models that enhance customer experiences and optimize operational efficiency. You will work on end-to-end ML pipelines, from data preprocessing and feature engineering to model training, evaluation, and deployment. This is an excellent opportunity to contribute to innovative projects, working in a collaborative environment that values technical excellence and continuous learning, with a flexible hybrid working model.

Key Responsibilities

• Develop, train, and deploy machine learning models using various algorithms and frameworks.
• Build and maintain robust, scalable ML pipelines and infrastructure.
• Collaborate with data scientists and software engineers to integrate ML solutions into production systems.
• Perform data analysis and feature engineering to improve model performance.
• Monitor and maintain deployed models, ensuring accuracy and efficiency.
• Stay updated with the latest advancements in machine learning and AI technologies.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 2+ years of experience as a Machine Learning Engineer or in a similar role.
• Proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with data processing and database technologies (SQL, NoSQL).
• Understanding of ML deployment strategies and MLOps practices.
• Strong analytical and problem-solving skills.

Benefits

• Competitive salary and annual bonus.
• Comprehensive health, dental, and vision insurance.
• Pension scheme with employer contributions.
• Access to training and development programs.
• Hybrid work model offering flexibility between office and home.