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Weir in Malmö is seeking a Technical Lead, Predictive Maintenance to shape AI-driven solutions and lead technical direction across data science, engineering, product and business stakeholders.
This hands-on leadership role focuses on delivering scalable ML systems, setting engineering standards, and guiding project delivery while influencing through expertise rather than direct management. Hybrid work with office presence required.
Location – Malmö, Sweden
Work Arrangement – Hybrid, minimum 3 days per week in office
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.
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.
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.
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.
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.
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.
Minimal travel is expected. The role is based in Malmö, with a minimum of three days per week working from the office.
Demonstrate 100% commitment to our zero harm behaviours in support of our drive towards developing a world-class safety culture.
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.