Machine Learning Operations (MLOps) Engineer

About the Role

Our client is seeking a skilled Machine Learning Operations (MLOps) Engineer to join their technology hub in Liverpool . This role is essential for bridging the gap between machine learning model development and production deployment, ensuring seamless, scalable, and reliable ML systems. You will be responsible for building and maintaining robust infrastructure, automating workflows, and implementing best practices for monitoring and managing ML models in production. This is an excellent opportunity to work with cutting-edge technologies in a fast-paced environment, contributing to the operational excellence of AI initiatives in Liverpool .

Key Responsibilities

• Develop and maintain CI/CD pipelines for machine learning models.
• Implement and manage infrastructure for training, deploying, and serving ML models.
• Automate model monitoring, testing, and retraining processes.
• Ensure the scalability, reliability, and security of ML systems in production.
• Collaborate closely with data scientists and software engineers to streamline the ML lifecycle.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 2+ years of experience in MLOps, DevOps, or related infrastructure engineering roles.
• Proficiency in scripting languages such as Python .
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Understanding of machine learning concepts and workflows.

Benefits

• Competitive salary and benefits package.
• Hybrid working model offering work-life balance.
• Opportunities for professional development and certifications.
• Work with a collaborative and innovative team in Liverpool .
• Contribute to the operational success of advanced AI systems.