Senior Machine Learning Engineer - Energy at DNV

Oakland, California, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Jun, 26

Salary

0.0

Posted On

23 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning Engineering, Python, Azure Cloud, Azure Machine Learning, Azure Databricks, Spark, Azure DevOps, CI/CD, Scikit-learn, Pandas, Numpy, MLflow, PySpark, ML Ops, SQL, Time-Series Models

Industry

Public Safety

Description

Energy Management’s Analytics & Data Science team works to accelerate the transition toward a carbon-free future through software and analytics. We are looking for a Senior Machine Learning Engineer to help us accomplish this mission. Working with the Analytics & Data Science team in DNV – Energy Management’s Technology group is more than just a job; it’s an opportunity to be part of a collaborative community where you can learn, grow, and thrive. Join a dynamic and diverse technology team that values innovation, impact, and sustainability. Help us bridge the gap between advanced analytics systems and user-facing web applications that support demand side management, demand flexibility, and transportation electrification programs! This role is based at our DNV offices in Albuquerque, NM; Arlington, VA; Austin, TX; Columbus, OH; Dallas, TX; Des Moines, IA; Jersey City, NJ; Helena, MT; Houston, TX; Irvine, CA; Lansing, MI; Las Vegas, NV; Medford, MA; Miami, FL; Madison, WI; New York – Broadway, NY; Oakland, CA; Portland, OR; Phoenix, AZ; Portland, ME; Oak Brook, IL; San Diego, CA; Santa Clara, CA; Seattle, WA; Troy, NY; Middletown, CT; and North Andover, MA, presenting a dynamic hybrid schedule where employees will typically spend three (3) days per week working from a DNV office. Further details regarding role‑specific requirements will be shared during the interview process. Other DNV offices may also be considered. What You'll Do: * As a Senior Machine Learning Engineer, Energy Systems, you will build and deploy scalable machine learning solutions that support utilities, renewable developers, grid operators, and clean energy programs. * You will partner with data scientists, data engineers, analytics engineers, and software developers from the US and internationally to take models from experimentation to production, ensuring they are performant, reliable, and impactful in the energy domain. This position will coordinate and collaborate across multiple time zones. * Your work will directly enable data-driven decisions that improve grid reliability, increase energy efficiency, accelerate decarbonization, and support the clean energy transition. * Applications must clearly demonstrate relevant, hands-on experience in both ML engineering. * Direct experience working with energy systems, utilities, grid operations, renewable energy, energy efficiency programs, or energy-market data is strongly preferred. About Energy Systems We help customers navigate the complex transition to a decarbonized and more sustainable energy future. We do this by assuring that energy systems work safely and effectively, using solutions that are increasingly digital. We also help industries and governments to navigate the many complex, interrelated transitions taking place globally and regionally, in the energy industry.

Responsibilities

The Senior Machine Learning Engineer will build and deploy scalable machine learning solutions to support utilities, grid operators, and clean energy programs. This role involves partnering with international teams to move models from experimentation into production, ensuring reliability and impact in the energy domain.