Predictive Maintenance Engineer

Hitachi Vantara Corporation; City Of London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A global technology company in London is seeking a Predictive Maintenance Engineer to enhance train operation reliability through innovative data-driven maintenance approaches. The role involves developing algorithms and using statistical analysis techniques to improve service quality. The ideal candidate will have an engineering degree, strong experience in Python, and familiarity with reliability methodologies. This position offers a competitive salary and benefits package.

Benefits

Competitive salary

Annual performance bonus

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

Qualifications

• Engineering Degree, preferably in Electrical or Electronics Engineering.
• Experience in railway domain or manufacturing industry.
• Experience in coding with Python and SQL.

Responsibilities

• Review and design train subsystems focusing on reliability.
• Develop prognostic algorithms using operational data.
• Implement algorithms with coding languages like Python and Pyspark.

Skills

Python

Statistical analysis

Data science techniques

PowerBI

Reliability Centred Maintenance (RCM)

Condition Based Maintenance (CBM)

Pyspark

Machine learning

Electrical drawing interpretation

Communication skills

Education

Engineering Degree (Electrical or Electronics)

Tools

SQL

Git

SVN

Job description

About Us

A career at Hitachi Rail will help create a legacy. With operations in every corner of the world, our work goes to the cutting-edge of digital transformation and technology. From the multi-cultural strength of our global organisation to the sustainable and innovative ways we work to bring people together, there’s something for everyone to get stuck into. And that’s where you come in.

Description

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 experience 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 maximize train operation. The successful candidate ideally would come from either an Electronics or Software engineering background but must have strong experience coding in Python and exposure/experience with data science technologies.

Responsibilities

• Review and design main train subsystems with focus on maintainability, availability, reliability and CBM rule application
• Develop prognostic algorithms, principles based on its 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

What we offer

• 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

Thank you for your interest in Hitachi Rail. If your application is of interest, we will be in contact. Please do not hesitate to discover more about us and our latest jobs at https://www.hitachirail.com/careers.

Equal Opportunity Employment

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.

We would be delighted if you would be one of our followers at https://www.linkedin.com/company/hitachirail.