Optimove MLOps Senior Engineer 

United Kingdom, Scotland 

703331853

Key responsibilities include:

• Managing and optimising existing ML model deployments to ensure reliability and efficiency.
• Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management.
• Collaborating closely with data scientists to understand and implement model requirements.
• Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems.
• Implementing robust CI/CD pipelines, monitoring systems, and infrastructure automation.
• Upholding best practices in security, cost management, and infrastructure design for cloud environments.

Responsibilities:

• 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 (e.g., SageMaker, ECS, Lambda) 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.