Machine Learning Operations (MLOps) Engineer

About the Role

Our client is seeking an experienced Machine Learning Operations (MLOps) Engineer to optimize the deployment and management of AI models in Norwich . This role is crucial for bridging the gap between machine learning development and robust production environments, ensuring seamless, scalable, and reliable operation of AI systems. You will be responsible for building and maintaining the infrastructure, pipelines, and processes necessary for effective MLOps practices, contributing significantly to our capabilities in AI and Emerging Technologies . This is a key position for an individual passionate about automation and operational excellence in the AI space.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines for machine learning models.
• Develop and manage infrastructure for model training, deployment, and monitoring.
• Implement strategies for model versioning, testing, and rollback.
• Automate operational tasks related to machine learning systems.
• Collaborate with data scientists and software engineers to streamline the ML lifecycle.
• Monitor model performance in production and troubleshoot issues as they arise.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience (4+ years) in software engineering or DevOps, with a focus on MLOps.
• Strong understanding of machine learning concepts and workflows.
• Proficiency with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
• Experience with CI/CD tools and scripting languages (e.g., Python, Bash).
• Knowledge of monitoring and logging tools for production systems.

Benefits

• Highly competitive salary and performance-based incentives.
• Full-time position with a clear growth trajectory.
• Comprehensive health, dental, and vision insurance coverage.
• Generous pension scheme and paid time off.
• Opportunity to work with cutting-edge AI technologies in Norwich and shape the MLOps practice.