Predictive Maintenance Engineer

Hitachi, Ltd; City Of London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading railway technology company is seeking a Predictive Maintenance Engineer based in London. You will work on a hybrid basis, responsible for enhancing service quality and equipment reliability. Duties include developing tools for optimizing maintenance processes and implementing prognostic algorithms. Ideal candidates have an engineering degree and significant experience in coding, railway systems, and statistical analysis. The role offers a competitive salary along with various benefits including private medical insurance and performance bonuses.

Benefits

Competitive salary

Annual performance bonus

25 days holiday

Pension scheme with contributions up to 9%

Private medical insurance

Group Life Insurance

Employee Assistance Programme

Qualifications

• Experience in railway domain or other manufacturing industries like avionics, automotive.
• Ability to interpret electrical and mechanical drawings.
• Familiarity with big data analysis techniques.

Responsibilities

• Review and design main train subsystems for maintainability and availability.
• Develop prognostic algorithms and implement them using various technologies.
• Monitor system performance and conduct statistical analysis on data.

Skills

Python

Statistical analysis

Reliability Centred Maintenance (RCM)

Condition-Based Maintenance (CBM)

Data Science Techniques

PowerBI

SQL

Education

Engineering Degree, preferably in Electrical or Electronics Engineering

Tools

PySpark

SVN

Git

Job description

Overview

Here at Hitachi Rail, we have a fantastic and unique opportunity for an experienced Predictive Maintenance Engineer to join the team. Based from our London HQ, working on a hybrid basis the experienced Predictive Maintenance Engineer will be responsible for improving service quality and equipment reliability by developing tools and systems for improving workflows and optimising maintenance processes using suitable practices, Reliability Centred Maintenance (RCM), Condition Base Maintenance (CBM) methodology and Data Science Techniques. The Predictive Maintenance Engineer will play a critical role in connecting field operations with the maintenance organisation, helping minimise downtime and failure rates and maximise train operation.

Responsibilities

• Review and design main train subsystems with focus on maintainability, availability, reliability and CBM rule application.
• Develop prognostic algorithms based on logic, signals/events/operational information within related resolution and sampling timing and prescriptions for maintenance.
• Implement prognostic algorithms with different proprietary technologies and coding languages such as PySpark, Python, PowerBI.
• Analyse diagnostics and maintenance data.
• Monitor prognostic system performances and statistical analysis on collected data to identify critical trends and conditions.
• Support prognostic algorithm verification and validation. This will include simulations with TCMS simulator and historical diagnostic data, analysis of maintenance reports and on field failures.
• Study and review of the vehicle FMECA/FMEA and maintenance plan.
• Support and participate in RCM design activities.
• Master the communication among the diagnostic MMI interfaces, TCMS, the specific on-board subsystem controllers and on-ground system.
• Write and review maintenance procedures and plans, train users on CBM.

Qualifications

• Engineering Degree, preferably Electrical or Electronics Engineering.
• Experience in railway domain (preferred) or other manufacturing industry such as avionics, automotive or R&D.
• Experience in coding with Python, SQL, preferably PySpark, and versioning tools (SVN, Git).
• Familiar with PowerBI dashboard development.
• Able to interpret electrical drawings, system specification software specification (e.g., UML) and mechanical drawings.
• Experience in prediction/CBM algorithms.
• Experience in statistical analysis including quality control, multiple linear regression models, logistic regression, discriminant analysis, re-sampling techniques.
• Experience in big data analysis techniques both unsupervised and supervised machine learning.
• Good understanding of RCM methodology.
• Able to write technical specification for software and electronic systems.
• Able to manage relationship with suppliers and end-customers.
• Ability to communicate effectively both orally and in writing.
• An understanding of health and safety requirements of a working environment.

Desirable

• Experience in maintenance of vehicle railways equipment.
• Experience in design of vehicle railway system.

Benefits

• Competitive salary.
• Annual Performance bonus paid on discretionary basis.
• 25 days holiday.
• Pension scheme with contributions up to 9%.
• Private medical insurance.
• Personal Accident insurance.
• Group Income protection.
• Group Life Insurance.
• Employee Assistance Programme.

Employer Commitment

At Hitachi Rail, we welcome and value differences in background, age, gender, sexuality, family status, disability, race, nationality, ethnicity, religion, and world view. We are proud to be an equal opportunity employer and are committed to creating an inclusive environment.