Senior Condition Monitoring Engineer
Onyx Insight
Provide wind turbine health monitoring services to EU customers.
2 days ago ago
Intermediate (4-7 years), Junior (1-3 years)
Full Time
Nottingham, England, United Kingdom
Hybrid
Company Size
150 Employees
Service Specialisms
Engineering
Consulting
Technical Services
Asset Management
Data Analytics
Predictive Maintenance
Wind Turbine Performance Monitoring
Renewable Energy Solutions
Sector Specialisms
Energy
Offshore Wind Turbines
Onshore Wind Turbines
Materials & Manufacturing
Research & Education
Climate Solutions
Energy Management
Role
What you would be doing
customer onboarding
consulting
service improvement
health monitoring
fleetmonitor
quality assurance
- Support the new customer onboarding process, contributing to the effective mobilisation of services to new customers
- Identify opportunities to provide added-value services to customers around performance such as consulting and training
- Work with ONYX colleagues around the world to identify and develop service improvement opportunities.
- Provide an excellent wind turbine condition health monitoring service to customers in our EU region
- Monitor asset performance using our fleetMONITOR software and report on alarms and asset health
- Ensure that the health monitoring service provided to our customers is of the highest possible quality standard.
What you bring
python
machine learning
condition monitoring
stem degree
imeche
vpn
- Python or Matlab programming experience; networking/connectivity knowledge, including large/automated data transfer, VPN technologies, and databases
- Minimum 2-3 years experience of condition monitoring and asset health management in renewables and/or an adjacent industrial sector.
- Undergraduate degree in relevant STEM subject (e.g. Mechanical Engineering, Industrial Engineering, Aeronautical Engineering, Mathematics, or Physics).
- Sound knowledge of dynamics of rotating machinery engineering and vibration analysis.
- Good knowledge of data mining or machine learning testing, measurement and data processing techniques, signal processing, feature extraction, regression analysis
- Ideal - UK IMechE qualified or working towards; Mobius Institute- accredited; Spanish and/or Portuguese language skills; PhD and or Masters degree.
Information not given or found
Training + DevelopmentInformation not given or found
Interview process
Information not given or found
Visa SponsorshipInformation not given or found
Security clearanceInformation not given or found
Company
Overview
- Founded to address the growing need for intelligent monitoring and predictive analytics in industrial sectors.
- Specializes in providing advanced condition monitoring systems for wind turbines, using cutting-edge technology to predict failures before they occur.
- Offers insights and solutions that help companies improve asset reliability, reduce downtime, and optimize performance.
- Utilizes data analytics and AI to provide actionable insights for maintenance and operational efficiency.
- Works across a range of sectors, with a strong focus on renewable energy, particularly wind energy.
- Provides bespoke services and products, including predictive maintenance and asset health assessments.
- Its solutions have been recognized for significantly improving the efficiency and sustainability of wind farms globally.
- Relies on a team of industry experts with deep technical knowledge to drive innovation and practical solutions.
- Collaborative and open‑minded work environment valuing innovation and excellence
- People‑first approach with supportive management and autonomy
- Continuous improvement culture with clear recognition and reward systems
- Science‑ and research‑driven focus on unbiased predictive analytics to maximize wind energy potential
Over 10,000 Turbines
Wind Turbine Monitoring
Operational efficiency for over 10,000 wind turbines, contributing to cleaner energy production.
11,000 Tonnes COâ‚‚ Saved
Carbon Emissions Reduction
Reduction of annual COâ‚‚ emissions through optimized wind turbine operations.
228 GWh Production
Energy Generation
Annual energy production from wind turbines, supporting sustainable energy initiatives.
- First to introduce MEMS technology (ecoCMS) for condition monitoring in wind industry, enabling data-driven predictive maintenance.
- Use of AI HUB to centralize data streams and boost O&M efficiency supporting energy transition.
- Partners with UL to extend life of wind assets and support race to net zero.
- No explicit net zero target date publicly stated.
Transparency Ranking
5.7/10
The company's transparency ranking on a workplace feedback site reflects ongoing efforts to improve inclusion.
- Actively promotes a diverse and inclusive workplace via DEI Strategy Working Group
- Encourages applicants from all backgrounds, emphasizing strengths and shared mission
- Supports flexible working, phased returns from illness, enhanced parental leave, private medical insurance
Articles
Kablio AIIf you're someone who helps build and power the world (or dreams to), Kablio AI is your pocket-sized recruiter that gets you hired.
Copyright © 2025 Kablio