3 data engineer jobs found

ONYX Insight is seeking an ML Engineer to join our Advanced Analytics team on a 6‑month contract, focusing on building and deploying production‑grade machine‑learning solutions for the renewable energy sector. The Role This is a delivery‑focused contract role, ideal for an ML Engineer who enjoys turning models into scalable, high‑quality software. You'll work closely with Data Scientists and Software Engineers to productionise AI models used in wind‑turbine condition monitoring and predictive maintenance. Key Responsibilities Design, build and maintain production ML services and APIs Implement model inference pipelines and optimise performance Develop robust data and feature pipelines integrating cloud data sources Write clean, testable, well‑documented code following modern software‑engineering practices Containerise and deploy ML solutions using Docker and CI/CD pipelines Support model deployment, monitoring and performance evaluation in...

ONYX Insight is looking for an experienced Data Scientist to join our Advanced Analytics team on a 6‑month contract, supporting the development of AI‑powered solutions for condition monitoring and predictive maintenance of wind‑turbine assets. The Role You will work with a cross‑functional team of Data Scientists, ML Engineers, Software Developers and domain experts, applying advanced analytics and machine‑learning techniques to large, real‑world datasets. This includes high‑frequency vibration data, SCADA data, and recorded turbine failure data. The focus of this contract is hands‑on delivery — developing, validating and deploying models that generate actionable insights for wind‑farm owners and operators. Key Responsibilities Develop and optimise AI‑driven algorithms to detect, diagnose and predict wind‑turbine failure modes Apply signal‑processing, reliability‑engineering and machine‑learning techniques to real operational data Build...

ONYX Insight is looking for an experienced Data Scientist to join our Advanced Analytics team on a 6‑month contract, supporting the development of AI‑powered solutions for condition monitoring and predictive maintenance of wind‑turbine assets. The Role You will work with a cross‑functional team of Data Scientists, ML Engineers, Software Developers and domain experts, applying advanced analytics and machine‑learning techniques to large, real‑world datasets. This includes high‑frequency vibration data, SCADA data, and recorded turbine failure data. The focus of this contract is hands‑on delivery — developing, validating and deploying models that generate actionable insights for wind‑farm owners and operators. Key Responsibilities Develop and optimise AI‑driven algorithms to detect, diagnose and predict wind‑turbine failure modes Apply signal‑processing, reliability‑engineering and machine‑learning techniques to real operational data Build...