At Enact, we understand that there’s no place like home. That’s why we bring our deep expertise, insightful offerings, and extra mile service to work every day to help lenders put more people in homes and keep them there.

We’re looking for a Machine Learning Ops Engineer in Raleigh, NC to join us in fulfilling our mission, while utilizing our values of excellence, improvement, and connection. In this role, you’ll design, build, and operate the end-to-end platform and pipelines that move models from notebooks to resilient, observable, cost-efficient production services on AWS. You’ll partner with Data Science, Cloud Engineering, and Enterprise Architecture to standardize patterns, automate delivery, and ensure models are versioned, governed, and monitored across their lifecycle—batch and real time.

The ideal candidate has a proven track record building and operating cloud-native ML platforms and pipelines—taking models from experimentation to reliable, observable, and cost-efficient production. They lead end-to-end delivery across training, packaging, CI/CD, deployment (batch and real-time), and monitoring, using modern tooling and Infrastructure as Code. They’re comfortable mentoring data scientists and engineers when needed on MLOps best practices—containerization, testing, model/version governance, and cloud-first design—while setting standards, templates, and golden paths that level up the team’s ability to ship ML services at scale.

LOCATION
Enact Headquarters, Raleigh, NC – Hybrid Schedule

YOUR RESPONSIBILITIES

• Productionize ML: Build repeatable paths from experimentation to deployment (batch, streaming, and low-latency endpoints), including feature engineering, training, evaluation, packaging, and release.
• Own ML Platform: Stand up and operate core platform components—model registry, feature store, experiment tracking, artifact stores, and standardized CI/CD for ML.
• Pipeline Engineering: Author robust data/ML pipelines (orchestrated with Step Functions / Airflow / Argo) that train, validate, and release models on schedules or events
• Observability & Quality: Implement end-to-end monitoring, data validation, model/drift checks, and alerting SLA/SLOs.
• Governance & Risk: Enforce model/version lineage, reproducibility, approvals, rollback plans, auditability, and cost controls aligned to enterprise policies.
• Partner & Mentor: Collaborate with on-shore/off-shore teams; coach data scientists on packaging, testing, and performance; contribute to standards and reviews.
• DevEx & Templates: Provide golden paths, IaC modules, and templates that help DS/DE teams ship safely and quickly (containers, build specs, Git workflows).
• Hands-on Delivery: Prototype new patterns; troubleshoot production issues across data, model, and infrastructure layers.

YOUR QUALIFICATIONS

• Bachelor’s degree in computer science, information technology, cloud engineering or similar field
• 5+ years experience with Python (pandas, PySpark, scikit-learn; familiarity with PyTorch/TensorFlow helpful), bash, Make; strong containerization with Docker.
• 5+ years experience with ML Tooling: Experience with SageMaker (training, processing, pipelines, model registry, endpoints) or equivalents (Kubeflow, MLflow/Feast, Vertex, Databricks ML).
• 5+ years experience with Pipelines & Orchestration: Step Functions, SageMaker Pipelines, event-driven designs with EventBridge/SQS/Kinesis.
• 3+ + years experience with AWS Foundations: ECR/ECS, Lambda, API Gateway, S3, Glue/Athena/EMR, RDS/Aurora (PostgreSQL/MySQL), DynamoDB, CloudWatch, IAM, VPC, WAF.
• Snowflake Foundations:  Warehouses, databases, schemas, stages, Snowflake SQL, RBAC, UDF, Snowpark
• 3+ years hands on experience with CI/CD: CodeBuild/CodePipeline or GitHub Actions/GitLab; blue/green, canary, and shadow deployments for models and services.
• Proven experience with feature pipelines for batch/stream, schema management, partitioning, performance tuning; parquet/iceberg best practices.
• Demonstrated ability to perform unit/integration tests for data and models, contract tests for features, reproducible training; data drift/performance monitoring.
• Experience with IaC & Platforms: Terraform (preferred), parameterized modules, environment promotion, tagging and cost governance.
• Demonstrated operational mindset with experience in incident response for model services, SLOs, dashboards, runbooks; strong debugging across data, model, and infra layers.
• Clear communication, collaborative mindset, and a bias to automate & document.

PREFERRED QUALIFICATIONS

• Experience adhering to and implementing data security and governance best practices in a highly regulated environment (encryption, RBAC, auditing, regulatory standards – HIPAA, SOC2, etc)

COMPANY
Enact Holdings, Inc. (Nasdaq: ACT), operating primarily through its wholly owned subsidiaries, is a leading publicly traded U.S. private mortgage insurance provider, offering borrower-centric products that enable lenders and other partners across the U.S. to help people responsibly achieve and maintain the dream of homeownership.

By empowering customers and their borrowers, Enact seeks to positively impact the lives of those in the communities in which it serves in a sustainable way. Headquartered in Raleigh, North Carolina, we play an active role in supporting a prosperous Triangle community. We also support our colleagues’ philanthropic efforts in their home communities across the U.S. Enact values all perspectives, characteristics and experiences, along with providing a positive and inclusive culture for employees to grow and succeed. We strive to create an environment where employees can bring their full, authentic selves to work to help each other and their customers.
 

We are proud to be an equal opportunity employer and all hiring decisions are based on merit, qualifications, and business needs. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

WHY WORK AT ENACT
 

• We bring innovative thinking to the situations at hand
• We seek out and incorporate diverse views to strengthen our outcomes
• We work on challenging and rewarding projects
• We offer competitive benefits:
  • Hybrid work schedule (in-office days Tues/Wed/Thurs)
  • Generous Time Off
  • 40 Hours of Volunteer Time Off
  • Tuition Reimbursement and Student Loan Repayment
  • Paid Family Leave and Flexible Spending Accounts
  • 401k with up to 5% employer match
  • Fitness and Emotional Wellness Reimbursements
  • Onsite Gym