Technical Lead, Predictive Maintenance

Weir

Malmö kommun

Híbrido

SEK 1.100.000 - 1.400.000

Jornada completa

Hace 2 días
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Ventajas ofrecidas por este puesto de trabajo

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

Descripción de la vacante

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.

Formación

  • 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 with high-quality software engineering practices.
  • Experience leading technical projects or providing technical direction, with ability to influence without formal people management.
  • Excellent communication and stakeholder management skills, able to explain complex concepts to non-technical audiences.
  • Reliable, adaptable, self-starting approach, able to work in a changing environment and manage competing priorities.
  • Strong experience with GitHub and CI/CD practices, ideally including GitHub Actions.
  • Ability to work from Malmö office at least three days per week.

Responsabilidades

  • Lead the development of scalable, efficient and production-ready machine learning solutions.
  • Set and uphold engineering standards, guide ML infrastructure decisions, and shape the technical roadmap with product and data science leads.
  • Take ownership of technical projects from concept through delivery, balancing quality, priorities and constraints.
  • Translate complex AI/ML concepts into clear language for technical and non-technical audiences.
  • Support engineers and data scientists through code reviews, pairing and mentoring.
  • Collaborate across data science, engineering, product and business stakeholders; minimal travel.

Conocimientos

Machine learning
Software engineering practices
Technical leadership
Stakeholder management
Communication
Adaptability
Self-starter
GitHub

Educación

Master's degree in Computer Science/Engineering
PhD in a related field

Herramientas

GitHub Actions
CI/CD

Descripción del empleo

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
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