Machine Learning Operations (MLOps) Engineer

About the Role

Our client is a leader in harnessing AI and Emerging Technologies , and they require a skilled Machine Learning Operations (MLOps) Engineer to join their dedicated team in Liverpool . This role is essential for bridging the gap between machine learning model development and reliable production deployment. You will be responsible for building, automating, and managing the infrastructure and workflows that enable seamless MLOps practices. This position offers the chance to work with cutting-edge tools and technologies, ensuring the scalability, reliability, and efficiency of AI-driven applications in a critical on-site capacity.

Key Responsibilities

• Design, build, and maintain CI/CD pipelines for machine learning models.
• Implement and manage infrastructure for training, deploying, and monitoring ML models at scale.
• Automate model retraining, versioning, and deployment processes.
• Develop tools and frameworks to streamline the MLOps lifecycle.
• Collaborate closely with data scientists and software engineers to ensure smooth model integration and operation.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline.
• 3+ years of experience in DevOps, SRE, or MLOps roles.
• Proficiency in scripting languages (e.g., Python, Bash) and containerization technologies (e.g., Docker, Kubernetes).
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Solid understanding of machine learning concepts and workflows.

Benefits

• Competitive salary and performance-based bonuses.
• Opportunities for professional development and certifications in Cloud and MLOps .
• Comprehensive health and well-being benefits.
• Collaborative team environment focused on innovation in AI .
• State-of-the-art facilities in Liverpool .