Technical Lead, Analytics

Location – Malmö, Sweden
Work Arrangement – Hybrid

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
You’ll play a key role in solving real-world challenges. You’ll apply your skills to deliver results that matter whether that’s through engineering, planning or customer support. You’ll work with purpose, learn every day and help shape a more sustainable future.

What you’ll do
Technical Delivery:

Lead the development of fast, scalable, and efficient machine learning models and code that meet hardware constraints and are edge-deployable. Ensure high-quality, performant ML code is delivered consistently.

Technical Leadership:

Set and uphold engineering standards, make architectural decisions around ML infrastructure and deployment, and own the technical roadmap in partnership with product and data science leads. Provide informal leadership and mentorship to junior engineers and data scientists.

Collaboration and Communication:

Act as a key technical voice bridging data science, engineering, product managers, and business stakeholders. Translate complex ML and engineering concepts into clear, actionable language for non-technical audiences. Proactively communicate risks, trade-offs, and progress.

Mentorship:

Support growth of team members through code reviews, pairing, and constructive feedback, fostering a culture of quality and continuous learning.

Travel Requirements: Minimal travel expected; primarily based in Malmö with hybrid work arrangement.

Safety First:

Demonstrate 100% commitment to our zero harm behaviors 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 related field, or equivalent experience.
• Proven experience in implementing machine learning algorithms and delivering high-quality software development.
• Strong experience with GitHub and CI/CD pipelines, including GitHub Actions.
• Excellent communication skills with the ability to explain complex technical concepts to diverse stakeholders clearly and persuasively.

Nice-to-haves:

• Experience in leading technical projects without direct people management responsibilities.
• Background in AI or predictive maintenance within industrial or mining sectors.
• Ability to work as a self-starter and manage competing priorities effectively.
• Familiarity with edge deployment and scalable ML infrastructure.

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