Senior/Lead MLOps Engineer (P&C Insurance)

Senior / Lead ML/AI Ops Engineer (P&C Insurance)

Fully Remote | Full-Time

Partnering with a Leading P&C Insurance Carrier

James Search Group is excited to be partnering with a forward-thinking P&C insurance carrier that is actively investing in the buildout of a centralized Data & ML/AI function. As part of this initiative, we are searching for a Senior or Lead MLOps Engineer to help scale and productionize a growing portfolio of machine learning and AI models that directly impact underwriting, claims, pricing, and customer experience.

This is a foundational role on a multidisciplinary team of Data Scientists, Engineers, and Analysts. You’ll play a key part in designing and maintaining the systems, workflows, and infrastructure that allow the team to deploy, monitor, and continuously improve ML/AI solutions in a robust and scalable way.

Office Locations (Optional Hybrid):

This is a remote-first position, but you can also work from one of the carrier’s multiple U.S. office locations

What You’ll Do:

• Architect and build end-to-end MLOps pipelines for training, testing, deployment, and monitoring of machine learning models in production.
• Implement model versioning, lineage, CI/CD for ML workflows, and containerization using modern DevOps and MLOps tools.
• Collaborate with Data Scientists and ML Engineers to optimize model performance, reliability, and scalability.
• Lead the adoption of best practices for model deployment, monitoring, governance, and retraining workflows.
• Design infrastructure that supports real-time inference, batch scoring, and streaming pipelines.
• Ensure ML systems meet high standards for security, reproducibility, observability, and compliance.

What You Bring:

• 5–8+ years of experience in ML/AI infrastructure, MLOps, or platform engineering.
• Strong programming skills in Python and experience building production-grade ML systems.
• Deep experience with MLOps tools and platforms such as MLflow, Airflow, GitHub Actions, Arize, Seldon, or SageMaker.
• Solid understanding of containerization (e.g., Docker, Kubernetes) and cloud services (e.g., AWS, GCP, Azure).
• Experience deploying and monitoring models at scale across various inference modalities (real-time, batch, streaming).
• Familiarity with Databricks, dbt, and modern data orchestration tools.
• Excellent problem-solving skills and ability to work cross-functionally with data science, engineering, DevOps, and security teams.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Bonus Points For:

• Experience working in highly regulated environments like insurance or financial services.
• Familiarity with model explainability, fairness auditing, or regulatory compliance in ML systems.
• Exposure to Hex, Feature Stores, or monitoring frameworks like Evidently, WhyLabs, or Arize AI.
• Passion for automation, observability, and reducing manual model management overhead.

What’s In It for You:

• $135,000-$185,000 base salary
• Performance-based bonus/variable compensation
• Comprehensive benefits, including:
• Medical, dental, and vision insurance
• 401(k) with company match
• Generous PTO
• Mental health & wellness support
• Remote flexibility

This is a unique opportunity to shape the technical foundation of ML/AI operations at a modern insurance organization committed to innovation.

If you're passionate about building robust ML infrastructure and enabling scalable data science — let’s talk.