Machine Learning Operations (MLOps) Engineer

About the Role

Our client is seeking an experienced Machine Learning Operations (MLOps) Engineer to join their high-performing team, offering a fully remote working arrangement. This critical role focuses on streamlining and automating the lifecycle of machine learning models, ensuring their reliable deployment, monitoring, and management in production environments. You will work closely with data scientists and software engineers to build scalable and efficient MLOps pipelines. This is a fantastic opportunity to shape the operational backbone of AI initiatives from anywhere in the UK.

Key Responsibilities

• Develop and maintain robust MLOps pipelines for model training, validation, deployment, and monitoring.
• Automate the deployment process for machine learning models using CI/CD best practices.
• Implement monitoring solutions to track model performance, drift, and system health in production.
• Manage and optimize ML infrastructure, including containerization (Docker) and orchestration (Kubernetes).
• Collaborate with data scientists to operationalize models and troubleshoot production issues.
• Ensure security, scalability, and efficiency of ML systems throughout their lifecycle.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in software engineering, DevOps, or MLOps.
• Proficiency in scripting languages like Python and experience with infrastructure-as-code tools (e.g., Terraform, Ansible).
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization technologies.
• Familiarity with machine learning concepts and workflows.
• Experience with CI/CD tools and practices for ML model deployment is essential.

Benefits

• Competitive salary and performance-based bonuses.
• Fully remote position, providing excellent work-life balance.
• Comprehensive health, dental, and vision benefits.
• Budget for professional development, including relevant certifications and courses.
• A culture that encourages innovation, collaboration, and continuous improvement.