Machine Learning Engineer

About the Role

Our client is seeking a talented Machine Learning Engineer to join their innovative technology team in Birmingham . You will play a key role in designing, building, and deploying machine learning models that drive critical business decisions and enhance our product offerings. Working within a hybrid model, you will collaborate closely with data scientists, software engineers, and product managers to bring AI-driven solutions to life. This position offers an exciting opportunity to contribute to impactful projects in a collaborative and growth-oriented environment, leveraging cutting-edge ML technologies.

Key Responsibilities

• Develop, train, and deploy machine learning models for various applications, including predictive analytics and recommendation systems.
• Build and maintain robust data pipelines for ML model training and inference.
• Collaborate with software engineers to integrate ML models into existing production systems.
• Monitor model performance in production, identify drifts, and implement retraining strategies.
• Stay abreast of the latest advancements in machine learning and MLOps, and apply them to improve our solutions.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, or a related quantitative field.
• 2+ years of professional experience as a Machine Learning Engineer or similar role.
• Strong programming skills in Python and experience with ML libraries like Scikit-learn, TensorFlow, or PyTorch.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Understanding of data engineering principles and best practices for ML deployment.

Benefits

• Competitive salary and performance-based bonuses.
• Hybrid work arrangement offering flexibility between office and remote work.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development and training.
• A collaborative and innovative workplace culture in Birmingham .