Job Overview
Here at Hitachi Rail we have a unique opportunity for an experienced Predictive Maintenance Engineer to join our London HQ. The role is hybrid, and the engineer will improve service quality and equipment reliability by developing tools and systems that optimise maintenance workflows using Reliability‑Centred Maintenance (RCM), Condition‑Based Maintenance (CBM) methodology and data‑science techniques. The engineer will connect field operations with the maintenance organisation to minimise downtime and failure rates and maximise train operation.
Responsibilities
- Review and design main train subsystems with a focus on maintainability, availability, reliability and CBM rule application.
- Develop prognostic algorithms based on logic, signals/events, operational information, resolution, sampling timing and preservation prescriptions for maintenance.
- Implement prognostic algorithms with proprietary technologies and languages such as PySpark, Python, PowerBI.
- Analyse diagnostics and maintenance data, monitor prognostic system performances and conduct statistical analysis on collected data to identify critical trends and conditions.
- Support prognostic algorithm verification and validation, including simulations with the TCMS simulator, analysis of historical diagnostic data and maintenance reports, and field failures.
- Study and review vehicle FMECA/FMEA and maintenance plans.
- Participate in RCM design activities.
- Maintain communication among diagnostic MMI interfaces, TCMS, onboard subsystem controllers and on‑ground systems.
- Write and review maintenance procedures and plans, and train users on CBM.
Qualifications
- Engineering degree, preferably Electrical or Electronics Engineering.
- Experience in the railway domain (preferred) or other manufacturing industries such as avionics, automotive or R&D.
- Proficient coding in Python, SQL, PySpark and versioning tools (SVN, Git).
- Familiar with PowerBI dashboard development.
- Ability to interpret electrical drawings, system specifications (e.g., UML) and mechanical drawings.
- Experience in prediction/CBM algorithms and statistical analysis including quality control, multiple linear regression, logistic regression, discriminant analysis and re‑sampling techniques.
- Experience in big data analysis techniques both unsupervised and supervised machine learning.
- Good understanding of RCM methodology.
- Ability to write technical specifications for software and electronic systems.
- Ability to manage relationships with suppliers and end‑customers.
- Effective oral and written communication skills.
- Understanding of health and safety requirements of a working environment.
- Desirable: Experience in maintenance of vehicle railway equipment and design of vehicle railway systems.
Benefits
- Competitive salary.
- Annual performance bonus paid on a discretionary basis.
- 25 days holiday.
- Pension scheme with contributions up to 9%.
- Private medical insurance.
- Private accident insurance.
- Group income protection.
- Group life insurance.
- Employee assistance programme.
- Additional flexible perks to meet your specific needs and lifestyle.
Equal Opportunity
At Hitachi Rail, there is a place for everyone. We welcome and value differences in background, age, gender, sexuality, family status, disability, race, nationality, ethnicity, religion, and world view. It is our commitment to create an inclusive environment – we are proud to be an equal opportunity employer.
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