Senior MLOps Engineer – Energy Sector
Austin, TX – Hybrid
$160–180k + Excellent Benefits
Our client, a leader in energy innovation, is seeking a Senior MLOps Engineer to design, deploy, and scale machine learning infrastructure powering forecasting, optimisation, and real-time decision-making.
This is a pivotal role, bridging data science and production systems to ensure models are fast, reliable, and seamlessly embedded in business-critical operations.
Role Overview
- Productionise ML models – Deploy forecasting & optimisation models into live market environments with high availability.
- Build scalable ML infrastructure – Architect systems for training, testing & serving at scale.
- Automate deployments – Design CI/CD workflows to test, package, and release ML code to production.
- Monitor & maintain performance – Implement monitoring, alerting, and retraining pipelines to keep models accurate.
- Collaborate widely – Work with data scientists, engineers, and ops teams to translate prototypes into production.
- Optimise compute & storage – Manage GPU clusters, distributed training, and cloud resources efficiently.
- Standardise operations – Create best practices, documentation, and tooling for reproducibility.
- Enable real-time insights – Integrate live data from ISOs, weather feeds, and telemetry systems.
- Drive innovation – Research tools to improve deployment speed, resilience, and observability.
About You
- 3+ years’ MLOps experience in production environments.
- Skilled in ML serving frameworks (MLflow, TensorFlow Serving, TorchServe, BentoML).
- Strong Python skills for APIs, preprocessing, and ML integration.
- Hands‑on AWS experience (SageMaker, EKS, S3, Lambda) plus Terraform & Kubernetes.
- Proficient in CI/CD tools (GitHub Actions, GitLab CI, Jenkins).
- Familiar with monitoring tools (Prometheus, Grafana, Evidently).
- Expert in Docker & Kubernetes for ML deployment.
- Energy market knowledge is a plus, not a must.
- Degree in Computer Science, Machine Learning, or related field (advanced degree/certs welcome).
What’s on Offer
- $160–180k base + benefits
- Generous PTO
- Flexible hybrid working (3 days WFH)
- Professional development opportunities
- Medical, dental, and vision coverage
If you are ready to take your career to the next level and make a significant impact, apply now!
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