Future Asset Management is a specialist consultancy delivering asset performance outcomes for leading mining and resources organisations. We combine deep reliability engineering expertise with modern data platforms to bridge operational technology and business results.
Role Description
We are seeking Mechanical Reliability Engineers with a robust capability in data, M/L and Python coding. Equally comfortable in the field and in code, applying condition monitoring and predictive analytics to improve asset health and uptime.
What you'll work on
- Predictive maintenance strategies for mining assets — rotating equipment, processing plant, mobile fleet
- Python-based models and workflows for sensor and historian data
- Near real-time asset health insights via IoT and industrial data platforms
- FMEA, RCA, and asset management framework support
Qualifications
- Strong expertise in Reliability principals
- Proficiency in python coding, machine learning models, generative AI
- Experience in Project Management within engineering contexts
- Excellent analytical, problem-solving, and communication skills
- Bachelor’s degree in Mechanical Engineering or a related field (Master’s degree is a plus)
- Ability to work effectively in a collaborative environment
What we offer
- High-impact programmes with leading mining organisations
- Exposure to advanced analytics and emerging predictive technologies
- Competitive rates · Flexible working · Expert-led team
Apply with a brief CV and a short summary of a predictive maintenance initiative you've delivered.