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.