Senior Machine Learning Engineer

About the Role

Our client is seeking an experienced Senior Machine Learning Engineer to join their dynamic team in Birmingham . You will play a pivotal role in designing, building, and deploying scalable machine learning systems that drive intelligent solutions. This position offers the chance to work on challenging problems, leveraging vast datasets to create impactful predictive models and automated systems. You'll collaborate closely with data scientists and software engineers, contributing your expertise to enhance our client's technological capabilities and drive innovation in AI applications.

Key Responsibilities

• Design, develop, and implement robust machine learning models and pipelines.
• Deploy and maintain ML models in production environments, ensuring high availability and performance.
• Optimize model performance and efficiency through rigorous testing and validation.
• Collaborate with data scientists to translate research into production-ready solutions.
• Build and manage data infrastructure required for ML model training and inference.
• Contribute to the development of best practices for MLOps and continuous integration.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• 5+ years of hands-on experience in machine learning engineering.
• Proficiency in Python and ML libraries (e.g., Scikit-learn, Keras).
• Strong understanding of ML algorithms, statistical modeling, and data preprocessing techniques.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Familiarity with big data technologies (e.g., Spark, Hadoop) is advantageous.

Benefits

• Competitive salary package with performance bonuses.
• Comprehensive health and wellness benefits.
• Flexible working arrangements and a supportive work-life balance.
• Opportunities for continuous learning and professional growth.
• Modern office space in Birmingham with excellent amenities.
• Engaging team activities and a collaborative work culture.