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Open nowPosted today

Technical Lead, Predictive Maintenance

Weir Minerals230 open roles

Where
Malmo
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Your applicationOpen nowTechnical Lead, Predictive MaintenanceWeir Minerals · Malmo

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The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. Weir Minerals postings stay open a median of 27 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.8%30 days
  6. 59.1%60 days
This job: posted today

Weir Minerals median: 27 days open

The posting

Technical Lead, Predictive Maintenance

Location – Malmö, Sweden Work Arrangement – Hybrid, minimum 3 days per week in office

What we do at Weir

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.

Make your impact

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.

What you’ll do

Technical Delivery: Lead the development of scalable, efficient and production-ready machine learning solutions. Ensure high standards of software quality, performance and maintainability while considering deployment and hardware constraints.

Technical Leadership: Set and uphold engineering standards, guide architectural decisions around machine learning infrastructure and deployment, and help shape the technical roadmap in partnership with product and data science leads. Provide technical direction and lead through influence rather than formal people management.

Technical Project Leadership: Take ownership of technical projects from concept through delivery, balancing technical quality, business priorities and practical constraints. Identify risks and trade-offs early and help the team navigate changing requirements and priorities.

Collaboration and Communication: Act as a key technical link between data science, engineering, product and business stakeholders. Translate complex AI, machine learning and engineering concepts into clear, practical language for both technical and non-technical audiences. Communicate progress, risks and recommendations clearly and proactively.

Informal Leadership and Mentoring: Support the development of engineers and data scientists through code reviews, pairing, coaching and constructive feedback. Lead by example and contribute to a collaborative, adaptable and high-performing team culture.

Travel Requirements: Minimal travel is expected. The role is based in Malmö, with a minimum of three days per week working from the office.

Safety First: Demonstrate 100% commitment to our zero harm behaviours in support of our drive towards developing a world-class safety culture.

What you’ll bring

Must-haves:

  • 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.

Nice-to-haves:

  • 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.

Why join Weir?

We live our values we think safety first, do the right thing, respect each other, aim high, and delight our customers. We encourage our people to lead by example and celebrate our successes.

We’re passionate about our purpose to help deliver the natural resources that are essential to create a better future for the world. We do this by combining our deep customer insights, world-class engineering, materials science expertise, and intelligent automation to deliver innovative end-to-end solutions incorporating our signature technologies.

We believe your voice matters and your ideas make a difference. We’re working hard to nurture a diverse culture where our people feel like they belong and can do the best work of their lives. You can help shape our unique culture through our inclusion networks and safety initiatives.

Benefits

  • Competitive pay
  • Career development and learning support
  • Access to global inclusion networks
  • Regional and team-specific benefits
  • Sharebuilder scheme
  • Wellness support for you and your family
  • Collaboration with global teams
  • Study support

#LI-DM1

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