AI/ML Operations Engineer (MLOps)

About the Role

Our client is seeking a skilled AI/ML Operations Engineer (MLOps) to join their growing technology team in Edinburgh . You will be responsible for streamlining and automating the machine learning lifecycle, from data ingestion and model training to deployment and monitoring. This role is crucial for ensuring the reliability, scalability, and efficiency of our AI systems in production. If you have a passion for DevOps principles applied to machine learning and thrive in a fast-paced, innovative environment, this is an excellent opportunity to make a significant impact.

Key Responsibilities

• Design, build, and maintain robust CI/CD pipelines for machine learning models.
• Automate the deployment, scaling, and management of ML models in production environments.
• Implement monitoring solutions to track model performance, drift, and system health.
• Collaborate with data scientists and software engineers to operationalize ML models efficiently.
• Manage and optimize cloud infrastructure supporting ML workloads.
• Troubleshoot and resolve issues related to ML systems in production.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in MLOps, DevOps, or Software Engineering with a focus on ML systems.
• Proficiency in cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
• Experience with ML frameworks (TensorFlow, PyTorch) and MLOps tools (MLflow, Kubeflow).
• Strong scripting and automation skills (e.g., Python, Bash).
• Familiarity with data pipelines and data engineering concepts.

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance.
• Generous pension plan and share options.
• Support for professional development, including courses and certifications.
• A dynamic and collaborative work environment in Edinburgh .