Machine Learning Engineer

Job Description

We're 23,000 colleagues in more than 30 countries delivering oil, gas, wind and solar power to 170 million people worldwide. Taking on tough energy challenges is our job. Right now, we're facing an enormous task: supplying the world with the energy it needs, while lowering emissions.

We're up for the challenge. Are you?

The position

By joining our team in Exploration & Production Norway you will have the opportunity to:

• Contribute to a forward-leaning environment in Equinor focusing on identifying and developing machine learning initiatives to support Equinor’s strategic direction. Your focus will be to drive maturation of new use cases as well as help manage the ones in development, such as:
  • Predictive maintenance of our assets using machine learning.
  • Optimizing the energy consumption of Equinor’s assets to cut CO2 emissions.
  • Optimize the utilization of our renewable plants feeding energy to our O&G assets.
  • Leverage Large Language Models to gain insight from historical maintenance data.
• Work closely with stakeholders and our skilled team of data scientists and developers to continuously shape our machine learning tools to meet a dynamic customer need.
• Build, train and deploy machine learning models as well as help out process and categorize findings from the models.
• Collaborate with some of the company’s best domain experts within e.g. rotating equipment, process, field instrument with the common aim of preventing equipment breakdown and optimize production efficiency.
  If you want to know more about the task at hand? Take a look here: Machine learning against the machine - Equinor

You

Some qualities are essential for Equinor. You identify with our values, open, collaborative, courageous and caring, which guide our decisions and help us succeed and grow. You make safety your priority and contribute to our zero-harm culture.

For this position, we are also looking for:

• A bachelor’s or master’s degree in Engineering, Computer Science, Mathematics or related field.
• Experience training and deploying predictive maintenance models OR experience with machine learning enabled autonomous systems is preferred.
• Excellent problem-solving skills, analytical thinking, and attention to detail.
• Strong communication and collaboration skills and ability to collaborate effectively in a team environment.
• Forward leaning, curious and actively searching for improvements and better deliveries building up under our purpose searching for better.
• Fluent in written and spoken English.

General information

Please attach copies of your CV, diplomas, certificates and grades in English or a Scandinavian language.Through this link you can find important information on what to include in your CV, which will make the application process easier and faster.

Applications submitted without necessary attachments will unfortunately not be evaluated.
If you are in the process of completing a degree, please upload an official temporary transcript or other document describing subjects and grades completed to this point.

Candidates are expected to openly offer all relevant information about themselves during the recruitment process. Candidates will be asked for information on affiliation to high-risk countries for a security assessment. Furthermore, background checks are performed on all final candidates and all permanent and temporary hires will be screened against relevant sanctions lists to ensure compliance with sanctions law.

Why join us?

At Equinor, we care about each other as much as our business.

That's why we offer:

- Not just a job; a career. In Equinor, your development begins on day one. You will build your competence through a wide range of learning activities while being empowered to build your career across multiple disciplines and geographies. Our internal job market allows endless opportunities for development and growth within your own field or in other interesting and relevant areas for you.

- Attractive rewards. We offer a comprehensive benefits package with competitive salaries, global parental leave, variable pay schemes and a share savings plan.

- Wellness and work-life balance. Our employees' well-being is a priority. We recognise that for you to be the best version of yourself in the workplace, being able to collect your children, attend a class or simply enjoy social time can be invaluable. That's why we encourage you to make use of our flexible work arrangements.

- An inclusive culture. We believe embracing our differences makes us stronger. For us true inclusion means being able to bring your whole self to work, and for everyone to feel accepted and valued.

For more information visit Equinor's website: https://www.equinor.com/