Technical Lead, Predictive Maintenance

We are a global leader in mining technology for a sustainable future. We help our customers extract the resources the world needs more efficiently and more sustainably. Our planet’s future depends on the transition to renewable energy, and that transition can only happen with the metals and minerals our customers deliver. So, we work side by side with mines across the globe to move less rock, use less energy, use water wisely, and create less waste. Together, we drive the shift to smart, efficient, and more sustainable mining.

As Technical Lead, Predictive Maintenance, you’ll combine deep technical expertise in machine learning and software development with strong technical leadership. You’ll help shape how we develop and deploy AI-driven solutions while bringing together data science, engineering, product and business stakeholders.

This is a hands-on technical leadership role rather than a formal people management position. You’ll influence through expertise, communication and collaboration, helping the team navigate technical decisions and changing priorities while making complex ideas understandable across the organisation.

• Master’s degree or PhD in Computer Science, Engineering, Applied Mathematics or a related field, or equivalent expertise gained through relevant professional experience.
• Strong experience developing and implementing machine learning solutions combined with high-quality software engineering practices.
• Experience leading technical projects or providing technical direction, with the ability to influence and guide others without formal people management responsibility.
• Excellent communication and stakeholder management skills, including the ability to explain complex technical concepts clearly and confidently to non-technical audiences.
• A reliable, adaptable and self-starting approach, with the ability to work effectively in a changing environment and manage competing priorities.
• Strong experience with GitHub and CI/CD practices, ideally including GitHub Actions.
• Ability to work from our Malmö office at least three days per week.

• Experience with AI or predictive maintenance solutions in an industrial, engineering or mining environment.
• Experience with edge deployment or machine learning solutions operating within hardware constraints.
• Experience designing scalable machine learning infrastructure and deployment approaches.
• Experience mentoring or coaching engineers, data scientists or other technical colleagues.