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Vibration Analyst

Malmö, Sweden

Hybrid

At Weir Minerals, we're dedicated to revolutionizing the mining industry using cutting-edge digital technology for a sustainable future. Our mission is to digitalize all our products, solutions, and services by 2030, enhancing efficiency, reducing environmental impact, and ensuring safer operations.

As a Vibration Analyst in Predictive Maintenance at Minerals Digital, you'll be the domain expert helping to design, validate, and refine a machine-learning-based predictive maintenance system. You'll collaborate closely with AI developers, software engineers, and product stakeholders to translate vibration signals into meaningful insights that support predictive maintenance and equipment reliability.

What we offer: At Weir, we are proud to provide reward on a basis which is fair and attractive, including a competitive benefits package. Through our ‘We are Weir’ framework, we focus on the importance of our people and the contribution they make to our organisation.

• Health & Wellbeing: As a global organisation there isn’t one single solution that will enable us to take a proactive approach to our health and wellbeing. We have built a Health and Wellness framework focusing on Culture & Leadership, Safety & Environmental, Mental Wellbeing, Physical Wellbeing, Digital Wellbeing and Financial Wellbeing for different parts of the business to bring to life in a way that is most meaningful for them.
• Grow your Own Way: Everything moves fast in the dynamic world of Weir. This creates opportunities for us to take on new challenges, explore new areas, learn, progress and excel. Best of all, there is no set path that our people must go down. Instead, everyone is given the support and freedom to tailor-make their own career and do the best work of their lives.
• Be You and Belong: Weir is a welcoming, inclusive place, where everyone's contribution is recognised and all employees are encouraged to innovate, collaborate and be themselves.

Key Responsibilities:

• Provide subject matter expertise on vibration monitoring of pumps, motors, compressors, and similar rotating equipment
• Support the design of signal preprocessing pipelines and feature extraction methods for raw time-series vibration data
• Collaborate with AI developers to incorporate domain-specific knowledge (e.g., fault frequencies, severity scaling, modulation patterns) into machine learning models
• Review and interpret model outputs to assess accuracy and help identify root causes of detected anomalies
• Safety First: Demonstrate 100% commitment to our zero harm behaviours in support of our drive towards developing a world class safety culture.

Job Knowledge/Education and Qualifications:

• Degree or certification in Mechanical Engineering, Acoustics, Condition Monitoring, or a related technical field
• Strong background in vibration analysis and condition monitoring of rotating machinery
• Hands-on experience with signal processing techniques such as FFT, envelope detection, and time-domain analysis
• Ability to interpret vibration patterns and relate them to specific failure modes (e.g., bearing defects, misalignment)

We are Weir! Founded in 1871, Weir engineers solutions that improve safety, efficiency and sustainability – helping to provide the essential resources needed by a growing world. We are a global family. We are proud of our unique blend of talent, technology and culture. We are here to inspire you to do the best work of your life!

For additional information about what it’s like to work at Weir, please visit our Career Page.

Weir is committed to an inclusive and diverse workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, veteran status, disability, age, or any other legally protected status.