Senior Machine Learning Engineer

About the Role

Our client is seeking a highly skilled Senior Machine Learning Engineer to join their dynamic team in Birmingham . This role is critical for designing, developing, and deploying robust machine learning models that drive core business functionalities. You will play a key part in enhancing data-driven decision-making processes and contributing to the innovation of AI-powered products. The ideal candidate is passionate about solving complex data problems and has a strong understanding of the end-to-end machine learning lifecycle, working within a collaborative engineering environment.

Key Responsibilities

• Develop, train, and deploy machine learning models at scale, ensuring optimal performance and reliability.
• Implement and maintain MLOps pipelines for continuous integration, delivery, and monitoring of ML models.
• Collaborate with data scientists and software engineers to translate analytical models into production-ready code.
• Optimize ML algorithms and data processing workflows for efficiency and scalability.
• Conduct rigorous testing and validation of models to ensure accuracy and robustness.
• Stay abreast of the latest advancements in machine learning and AI, applying them to solve business challenges.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of professional experience in machine learning engineering or a related role.
• Proficiency in programming languages such as Python, and experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of data structures, algorithms, and software design principles.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with SQL and NoSQL databases.

Benefits

• Competitive salary package with performance incentives.
• Comprehensive health, dental, and vision insurance plans.
• Generous annual leave and paid public holidays.
• Opportunities for professional development and training in cutting-edge AI technologies.
• Collaborative work environment in our Birmingham office.
• Access to advanced computing resources and development tools.