Join Planitar as an MLOps Engineer, focusing on building infrastructure for AI models in a remote or in office setting. Develop advanced systems that enhance property technology applications across multiple industries. As Planitar's first MLOps Engineer, you will be responsible for the end-to-end configuration of the AI platform that transforms 360° scans into precise floor plans. Your expertise will help automate and optimize the training pipelines, ensuring continuous model evaluation and deployment for superior quality assurance. You will collaborate closely with a small research team, managing complex GPU computing requirements to deliver actionable insights.

Key Responsibilities
• Build automated evaluation harness for model scoring




• Automate data generation and training pipelines
• Set up experiment tracking and model registry
• Package and deploy models in the drafting application
• Monitor model quality and performance in production

Requirements:
• 4+ years in MLOps or ML engineering
• Proficient in Python and C++ codebases
• Experience with PyTorch and ONNX
• Familiar with Docker and CI/CD practices
• Comfortable managing GPU compute resources Drive innovation in AI and spatial data systems as an MLOps Engineer with Planitar.

📌 MLOps Engineer at Planitar (London)
🏢 Planitar
📍 London