Senior Machine Learning Engineer

About the Role

Our client is seeking an experienced Senior Machine Learning Engineer to join their growing technology team based in Birmingham . You will play a crucial role in designing, developing, and deploying scalable machine learning models and systems that drive key business decisions and product innovation. This position offers the chance to work with large datasets, cutting-edge technologies, and a talented team dedicated to leveraging AI for practical business solutions. You will be responsible for the end-to-end lifecycle of machine learning projects, from data acquisition and preprocessing to model training, evaluation, and deployment, contributing significantly to the company's technological advancement and competitive edge.

Key Responsibilities

• Develop, train, and deploy production-ready machine learning models using Python and relevant ML libraries.
• Build and maintain robust data pipelines for collecting, cleaning, and transforming large datasets.
• Collaborate with data scientists and software engineers to integrate ML models into existing applications and systems.
• Optimize model performance, scalability, and efficiency for large-scale deployments.
• Monitor deployed models, troubleshoot issues, and implement improvements based on performance metrics.
• Contribute to the design and architecture of the ML infrastructure.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, or a related quantitative field.
• 4+ years of professional experience in machine learning engineering or a similar role.
• Strong proficiency in Python and experience with ML libraries like Scikit-learn, TensorFlow, or PyTorch.
• Solid understanding of data structures, algorithms, and software engineering best practices.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Excellent problem-solving skills and the ability to work effectively in a team-oriented, in-office environment in Birmingham .

Benefits

• Competitive annual salary with performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Pension scheme with employer contributions.
• Opportunities for professional development and attending industry conferences.
• Modern office facilities in the heart of Birmingham .
• Collaborative and innovative work environment.