Luossavaara-Kiirunavaara AB - Logo

Machine Learning/AI Engineer

Luossavaara-Kiirunavaara AB

Norrbottens län, Gällivare

Previous experience is desired

3 days left
to apply for the job

Do you want to make a tangible difference with data? At our company, analytics is already strong, and our new AI initiative needs your expertise. You will become the key person who enables AI to create value in everyday operations.

The most important job of the future

We want to lead the transformation of our industry towards a sustainable future. Just as we want to change the world, we want to develop everyone who is with us on this journey, both personally and professionally. Do you want to be part of shaping the future of the world's mining and mineral industry?

Your role

As a Machine Learning/AI Engineer, you develop, deploy, and further develop AI and machine learning solutions that help the business solve concrete problems and create insights from data. You work with scalable and robust ML models, focusing on performance, quality, security, and long-term management.

The role is central to our digital development. By turning AI and data into practical solutions, you contribute to innovation, business development, and a more coordinated technical direction within the organization.

You work closely with operations, data scientists, data engineers, and other IT staff to ensure that the solutions are relevant, secure, and usable in practice.

This is an opportunity to influence how we integrate AI into our operations and drive innovation to take us to the next level, both in breadth and depth. You thrive in a newly formed team where structure, platform, and ways of working are built progressively together.

What you bring with you

You are structured, take responsibility, and enjoy solving problems. You have a curious attitude and collaborate well with others.

We expect you to have:

  • Completed upper secondary education
  • Category B driver's license
  • Education in data, AI, machine learning, or equivalent experience
  • Experience in developing, training, and implementing machine learning models
  • Good knowledge of Python and SQL
  • Understanding of data processing, model evaluation, and how ML solutions can be taken from development to practical use
  • An interest in working closely with operations and translating needs into solutions using data and AI

The following are considered meritorious:

  • Experience with MLOps, model monitoring, or production deployment of ML solutions
  • Experience with industrial applications of AI or machine learning
  • Experience with cloud platforms, data platforms, or modern development environments

We warmly welcome your application!

We strive for a fair and objective recruitment process. Therefore, we usually do not ask for cover letters. Instead, we ask you to answer questions related to the specific position you are applying for. Your answers help us understand your competence and experience, so take your time to answer as clearly and thoroughly as possible.

Applications are processed continuously, so do not wait with your application.

Start: As agreed.

Location: Kiruna, Gällivare, or Luleå.

Scope: Full-time, daytime Monday-Friday

Contact: For more information about the position, you are welcome to contact the hiring manager Daniel Nordvall at 072 707 67 01 or [email protected]

Union contacts Kiruna/Svappavaara:

  • Sakari Alanko, Unionen, 0980-725 08
  • Ledarna Norra, [email protected]
  • Peter Johansson, Akademikerföreningen, 0980-718 79

Union contacts Malmberget/Luleå:

  • Unionen Södra Katarina Paganus, 0970-762 98
  • SACO-klubben Södra – Annika Taavoniku, 0970-795 32
  • Ledarna Södra – Johanna Dahlin, 010-144 50 16

LKAB is an international mining and mineral company based in northern Sweden with the whole world as its workplace. We lead the way towards carbon-free production, and we do it together – in an open, warm, and safe work environment with technology and development in focus. We welcome challenges, innovative ideas, and initiative, always with equality and diversity in focus.

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