Optimove MLOps Fullstack Engineer 

United Kingdom, Scotland 

574318871

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.

• Develop and maintain pipelines for model deployment and monitoring.
• Collaborate with data scientists to integrate ML models into production systems.
• Manage cloud infrastructure and resources for ML workflows.
• Assist in automating repetitive tasks and implementing best practices.

• 2+ years of experience in DevOps, MLOps, or a related role.
• Proficiency in Python and ML frameworks like TensorFlow or PyTorch.
• Familiarity with AWS services (e.g., EC2, S3, SageMaker).
• Knowledge of CI/CD tools and workflows.
• Basic understanding of containerization (Docker) and orchestration (Kubernetes).
• Strong debugging and troubleshooting skills.
• Willingness to learn and adapt to new technologies.