Machine Learning Operations (MLOps) Engineer

About the Role

Our client is looking for a skilled Machine Learning Operations (MLOps) Engineer to join their expanding technology team in Edinburgh . This role is vital for bridging the gap between machine learning development and reliable production deployment. You will be responsible for building, automating, and managing the infrastructure and workflows that support the end-to-end machine learning lifecycle, from data ingestion to model monitoring. Your expertise will ensure that ML models are deployed efficiently, scale effectively, and perform optimally in live environments. This is an excellent opportunity to work with cutting-edge technologies and contribute to the operational excellence of AI initiatives in Scotland.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines for machine learning models.
• Automate the deployment, scaling, and management of ML models in production environments.
• Develop and manage monitoring systems for model performance, data drift, and system health.
• Collaborate with data scientists and software engineers to streamline the ML development workflow.
• Implement infrastructure as code (IaC) practices for ML environments using tools like Terraform or CloudFormation.
• Ensure the security, reliability, and scalability of ML infrastructure.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in DevOps, SRE, or MLOps roles, with a focus on ML systems.
• Proficiency in scripting languages like Python and shell scripting.
• Experience with containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP).
• Knowledge of ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Understanding of monitoring tools and techniques for distributed systems.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous pension scheme and paid time off.
• Continuous learning opportunities and access to advanced training.
• A collaborative team environment in the historic city of Edinburgh .