Senior Condition Monitoring Engineer at Onyx Insight in Nottingham, England, United Kingdom | Kablio

Role

Description

asset monitoring

fleetmonitor

customer onboarding

consulting

health monitoring

service improvement

Identify opportunities to provide added-value services to customers around performance such as consulting and training
Support the new customer onboarding process, contributing to the effective mobilisation of services to new customers
Provide an excellent wind turbine condition health monitoring service to customers in our EU region
Ensure that the health monitoring service provided to our customers is of the highest possible quality standard.
Monitor asset performance using our fleetMONITOR software and report on alarms and asset health
Work with ONYX colleagues around the world to identify and develop service improvement opportunities.

Requirements

imeche

phd

vibration

condition monitoring

machine learning

python

Ideal - UK IMechE qualified or working towards; Mobius Institute- accredited; Spanish and/or Portuguese language skills; PhD and or Masters degree.
Sound knowledge of dynamics of rotating machinery engineering and vibration analysis.
Undergraduate degree in relevant STEM subject (e.g. Mechanical Engineering, Industrial Engineering, Aeronautical Engineering, Mathematics, or Physics).
Minimum 2-3 years experience of condition monitoring and asset health management in renewables and/or an adjacent industrial sector.
Good knowledge of data mining or machine learning testing, measurement and data processing techniques, signal processing, feature extraction, regression analysis
Python or Matlab programming experience; networking/connectivity knowledge, including large/automated data transfer, VPN technologies, and databases

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

People also searched

Mechanical Engineer Jobs in Nottingham United Kingdom Data Analyst Jobs in Nottingham United Kingdom AI & ML Engineer Jobs in Nottingham United Kingdom Renewable Energy Engineer Jobs in Nottingham United Kingdom

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.

Culture + Values

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

Environment + Sustainability

Over 10,000 Turbines

Wind Turbine Monitoring

Operational efficiency for over 10,000 wind turbines, contributing to cleaner energy production.

11,000 Tonnes CO₂ Saved

Carbon Emissions Reduction

Reduction of annual CO₂ 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.

Inclusion & Diversity

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

Careers

Our Projects

Role

Description

asset monitoring

fleetmonitor

customer onboarding

consulting

health monitoring

service improvement

Identify opportunities to provide added-value services to customers around performance such as consulting and training
Support the new customer onboarding process, contributing to the effective mobilisation of services to new customers
Provide an excellent wind turbine condition health monitoring service to customers in our EU region
Ensure that the health monitoring service provided to our customers is of the highest possible quality standard.
Monitor asset performance using our fleetMONITOR software and report on alarms and asset health
Work with ONYX colleagues around the world to identify and develop service improvement opportunities.

Requirements

imeche

phd

vibration

condition monitoring

machine learning

python

Ideal - UK IMechE qualified or working towards; Mobius Institute- accredited; Spanish and/or Portuguese language skills; PhD and or Masters degree.
Sound knowledge of dynamics of rotating machinery engineering and vibration analysis.
Undergraduate degree in relevant STEM subject (e.g. Mechanical Engineering, Industrial Engineering, Aeronautical Engineering, Mathematics, or Physics).
Minimum 2-3 years experience of condition monitoring and asset health management in renewables and/or an adjacent industrial sector.
Good knowledge of data mining or machine learning testing, measurement and data processing techniques, signal processing, feature extraction, regression analysis
Python or Matlab programming experience; networking/connectivity knowledge, including large/automated data transfer, VPN technologies, and databases

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

People also searched

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.

Culture + Values

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

Environment + Sustainability

Over 10,000 Turbines

Wind Turbine Monitoring

Operational efficiency for over 10,000 wind turbines, contributing to cleaner energy production.

11,000 Tonnes CO₂ Saved

Carbon Emissions Reduction

Reduction of annual CO₂ 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.

Inclusion & Diversity

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

Careers

Our Projects