Machine Learning Operations (MLOps) Engineer

About the Role

Our client is looking for a skilled Machine Learning Operations (MLOps) Engineer to join their dedicated technical team in Bristol . This role is essential for bridging the gap between machine learning development and reliable production deployment. You will be responsible for building and managing the infrastructure, tools, and processes that enable the efficient deployment, monitoring, and scaling of machine learning models. Working at the intersection of AI and DevOps, you will ensure that our machine learning solutions are robust, performant, and maintainable, contributing significantly to the success of our AI initiatives in Bristol .

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines for machine learning models.
• Develop and manage infrastructure for training, deploying, and monitoring ML models at scale.
• Automate ML workflows, including data versioning, model testing, and performance tracking.
• Collaborate with data scientists and software engineers to streamline the ML lifecycle.
• Troubleshoot and resolve issues related to ML model deployment and production environments.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in software engineering, DevOps, or MLOps.
• Proficiency with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Experience with scripting languages (Python, Bash) and CI/CD tools.
• Understanding of machine learning concepts and model lifecycle management.

Benefits

• Competitive salary and annual bonus.
• Comprehensive health, dental, and vision insurance.
• Generous pension scheme and life assurance.
• Opportunities for professional development and training in cutting-edge technologies.
• Collaborative work environment and a modern office in Bristol .