Senior MLOps Engineer

Job Description

Optimove, a global marketing tech company, is seeking a Senior MLOps Engineer to join their R&D operation in Dundee, Scotland. This role involves being part of the new MLOps team, which acts as the critical link between the data science and R&D teams, ensuring that ML models transition smoothly from development to production, maintaining high availability, scalability, and performance.Responsibilities include:

• Managing and optimising existing ML model deployments.
• Improving the architecture, processes, and tools for model deployment.
• Collaborating with data scientists and R&D teams.
• Implementing CI/CD pipelines and monitoring systems.
• Upholding best practices in security and cost management.
• Architect and develop robust pipelines for ML model training, testing, and deployment
• Implement and maintain CI/CD workflows for ML projects.
• Monitor production ML systems for performance, errors, and drift.
• Automate infrastructure provisioning and deployment using IaC tools.
• Collaborate with team leader to define technical strategies.

Requirements:

• 4+ years of experience in MLOps, DevOps, or software engineering roles.
• Strong programming skills in Python and familiarity with ML frameworks.
• Extensive experience with AWS services and cloud environments.
• Proficiency with containerization and orchestration tools (Docker, Kubernetes).
• Experience with version control systems and CI/CD pipelines.
• Knowledge of data engineering concepts (e.g., ETL, data pipelines).
• Ability to troubleshoot complex production systems.
• Strong communication and collaboration skills.

Optimove offers opportunities for career growth within a dynamic environment.