Machine Learning Operations (MLOps) Engineer

About the Role

Our client is seeking a skilled Machine Learning Operations (MLOps) Engineer to enhance their AI capabilities in Bradford, West Yorkshire, UK . You will play a critical role in bridging the gap between data science and IT operations, focusing on automating and streamlining the deployment, monitoring, and management of machine learning models in production. This role is essential for ensuring the reliability and efficiency of our AI systems, enabling rapid iteration and deployment of new models, and fostering a robust operational framework that supports continuous integration and continuous delivery of machine learning solutions, contributing to the success of our AI initiatives within a collaborative team environment.

Key Responsibilities

• Develop and maintain robust CI/CD pipelines for machine learning models.
• Implement and manage infrastructure for training, deploying, and serving ML models at scale.
• Monitor ML model performance in production, identify drift, and implement retraining strategies.
• Automate model versioning, testing, and validation processes.
• Collaborate closely with data scientists and software engineers to ensure seamless integration of ML models into applications.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as an MLOps Engineer, Software Engineer, or DevOps Engineer with a focus on ML.
• Proficiency in scripting languages (e.g., Python, Bash) and experience with containerization (Docker, Kubernetes).
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Familiarity with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and ML workflow tools.

Benefits

• Competitive salary and potential for performance bonuses.
• Hybrid working model offering flexibility.
• Comprehensive health, dental, and vision insurance.
• Opportunities for training and certification in cutting-edge technologies.
• Engaging work environment with a focus on innovation and collaboration in Bradford .