Senior Machine Learning Engineer

All locations
  • Oakland, CA, United States
  • Houston, TX, United States
  • Las Vegas, NV, United States
  • Phoenix, AZ, United States
  • Oak Brook, IL, United States
  • Helena, MT, United States
Business:
Energy Systems
Position type:
Full Time
Contract type:
Permanent Employee
Job ID:
4756
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Overview

About us

We are the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence.

As a trusted voice for many of the world’s most successful organizations, we use our knowledge to advance safety and performance, set industry benchmarks, and inspire and invent solutions to tackle global transformations.

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.

About the role

EVOLVE Intelligence accelerates 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 build intelligent, scalable ML solutions that support demand side management, demand flexibility, and transportation electrification programs!

As a Senior Machine Learning Engineer, you will develop and deploy robust machine learning systems that power analytics, optimize energy efficiency, and advance the clean energy transition. You’ll work closely with data scientists, data engineers, analytics engineers, and software developers to take models from experimentation to production, ensuring they are performant, maintainable, and impactful.

Your work will play a vital role in enabling utilities and clean energy programs to make data-driven decisions that reduce emissions, meet goals, and shape a sustainable future.

This role is based at our any DNV office in US, presenting a dynamic hybrid schedule where employees will typically spend three (3) days per week working from either a DNV office or client location/site. Further details regarding role-specific requirements will be shared during the interview process.

What You'll Do:

  • Develop & Deploy ML Models: Design, train, and productionize models using structured and unstructured datasets
  • Operationalize ML Workflows: Build and maintain ML pipelines using Databricks, Azure ML, MLflow, or similar platforms
  • Collaborate with Data & Software Teams: Work closely with data engineers and software developers to integrate models into end-user applications and systems
  • Monitor & Improve Model Performance: Implement monitoring, retraining strategies, and evaluation metrics to ensure ongoing model accuracy and stability
  • Automate & Scale: Leverage cloud-native tools to deploy scalable ML services and APIs
  • Champion Best Practices: Contribute to team-wide ML Ops, version control, testing, and documentation practices
  • Mentor & Share Knowledge: Guide junior engineers and in best practices, reviewing code and modeling approaches
  • Explore & Innovate: Research and experiment with new modeling techniques that enhance predictive performance and operational impact

What we offer
  • Generous paid time off (vacation, sick days, company holidays, personal days)
  • Multiple Medical and Dental benefit plans to choose from, Vision benefits
  • Spending accounts – FSA, Dependent Care, Commuter Benefits, company-seeded HSA
  • Employer-paid, therapist-led, virtual care services through Talkspace
  • 401(k) with company match
  • Company provided life insurance, short-term, and long-term disability benefits
  • Education reimbursement program
  • Flexible work schedule with hybrid opportunities
  • Charitable Matched Giving and Volunteer Rewards through our Impact Program
  • Volunteer time off (VTO) paid by the company
  • Career advancement opportunities

**Benefits vary based on position, tenure, location, and employee election**

For California, Washington, New York, Washington, D.C., Illinois, and Maryland: “DNV provides a reasonable range of compensation for this role. The actual compensation is influenced by a wide array of factors, including but not limited to skill set, level of experience, and specific location. For the states of California, Washington, New York, Washington, D.C., Illinois, and Maryland only, the starting pay range for this role is $145,000 - $165,000.

DNV is committed to ensuring equal employment opportunity, including providing reasonable accommodations to individuals with disabilities. US applicants with a physical or mental disability who require reasonable accommodation for any part of the application or hiring process may contact the North America Recruitment Department (hrrecruitment.northamerica@dnv.com). Information received relating to accommodation will be addressed confidentially.

For more information
https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal

About you

What is Required:

  • Bachelor’s degree
  • Minimum of 3 to 5 years’ experience building and deploying machine learning models in production
  • Demonstrated ability to manage multiple projects and collaborate across cross-functional teams
  • Proficient in:
    • Python (including libraries such as scikit-learn, pandas, numpy, MLflow, etc.)
    • Pyspark (we leverage Databricks)
    • ML Ops tooling and model deployment frameworks
    • SQL (e.g., T-SQL, PostgreSQL)
  • Strong written and verbal English communication skills
  • We conduct pre-employment drug and background screening

What is Preferred:

  • Bachelor’s degree in Computer Science, Machine Learning, Data Science, or a related field (or equivalent experience)
  • Experience in the Energy Industry or with clean energy applications
  • Familiarity with Azure ML, Azure DevOps, Azure Containers, and ML Ops workflows
  • Experience with time-series forecasting, classification, or clustering techniques
  • Exposure to distributed computing frameworks such as Apache Spark
  • Understanding of model interpretability, fairness, and responsible AI principles
  • Experience working within a collaborative DevOps environment

**Immigration-related employment benefits, for example visa sponsorship, are not available for this position**

Benefits

Profit Share

You’ll be part of our global profit share scheme that means we all share in our success as a business. If we profit, so do you. This will be part of our Total Compensation approach each year and depends on our year-end results.

Personal Development

You’ll have a lot of opportunities to learn and grow. Whether it’s building your network, having resources to plan and realise your career goals or enjoying genuine freedom to satisfy your curiosity, we’ll make sure you’re always growing and developing.

Purpose-led organization

You become part of a world-leading company where we know and live our purpose; to safeguard life, property, and the environment, with the opportunity to tackle global change through your work.

401(k)

DNV provides the option for eligible employees to enroll in our professional managed 401(k) plan. We’ll match up to a percentage of employee elected investment, which will become fully vested after a few years.

Healthcare and more

You’ll have multiple medical plans to choose from including Dental, Vision, RX plans, AD&D, Critical Illness, ST/LT Disability, Paid Parental Leave, Virtual TalkSpace Therapy.

Additional benefits

ID theft protection, generous PTO accrual, company paid holidays, discounted pet insurance, charitable donation matching, additional vacation hours purchase plan, commuter benefits, Employee Assistance Program (EAP), tuition reimbursement.

Diversity, Equity and Inclusion

At DNV, our commitment to Diversity, Equity, and Inclusion is not only an ethical choice, but also a business decision.

Diversity, fairness, and a sense of belonging are a source of strength for our people, our business, and our customers, and help us to deliver on our purpose, vision, and values.

Learn more

Working here

Since 1864 we’ve been dedicated to safeguarding life, property and the environment. Today we remain at the forefront of new technologies and techniques to help our customers transform for a more sustainable future.

At DNV you can expect to deliver career and industry defining work. You’ll be given the time to build your network, the resources to support your development, and the freedom to satisfy your curiosity and desire to learn.

Learn more

Application Process

FAQs

Welcome to our Frequently Asked Questions page. We’ve put together answers to the questions we’re asked most often to help you find the information you need quickly and easily. Whether you're curious about our recruitment process, benefits or career growth and development, you should find the information below.

How can I find job openings that fit my skills and interests?

Explore our official job search page where you can use filters such as job type, location, and department to find roles that best match your qualifications and career aspirations.

What’s your application process like?

You can apply directly through our careers page by submitting your CV and any other documents we require (i.e. university diplomas/transcripts; visas; previous employment reference letters). Make sure your application is fully completed, and you tailor it to the specific job listing. 

Is your recruitment process designed to be inclusive and accessible?

Yes, it is. We're an equal opportunities employer and welcome applications from all candidates. We’re happy to support your need for any adjustments during the application and hiring process. Share the details of what you need within your application.

What types of interviews might I undergo?

Depending on your role, our interview process may include initial phone screenings, video conferences, and in-person interviews, focusing on both your technical abilities and our shared values. You can ask your recruiter specifically about the interview process for your role. 

How long does the hiring process typically take from application to decision?

The timeline can vary but we make every effort to reply to each candidate as soon as possible and keep everyone up-to-date with where they are in the recruitment process.

How do I know if a recruitment contact is legitimately from your company?

Official communication will come from our verified company email addresses. Carefully check any suspicious looking emails and if you have any doubts, don’t engage.

Are there any fees involved in your recruitment process?

No, we do not charge any fees at any stage of our recruitment process. All applications and interviews are free of charge, we will never ask you to pay any fees or make any payments – please be wary of any requests for payment as these are likely scams.

What should I do if I suspect a job scam?

If you encounter suspicious job postings or recruitment practices, do not provide personal information and contact your recruiter as soon as possible. We take these matters seriously. We will never ask you to pay any fees or make any payments part of our recruitment process.

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Disclaimer

Please beware of recruitment scams that pretend to be from DNV or its employees. We will never ask you to pay any fees or make any payments as part of our recruitment process.