Hybrid Predictive Maintenance Engineer — Python & Data

H-E Parts; Greater London; Hybrid; GBP 55,000 - 70,000; Full time

Job summary

A leading transport solutions provider is seeking a Predictive Maintenance Engineer to optimize maintenance processes and improve service quality at their London HQ. The candidate should have an Engineering Degree in Electrical or Electronics, strong coding skills in Python, and experience in the railway domain or similar industries. Responsibilities include developing prognostic algorithms and analyzing maintenance data to minimize downtime. Competitive salary and benefits are offered, along with a focus on inclusive work culture.

Benefits

Competitive salary

Annual Performance bonus

25 days holiday

Pension scheme with contributions up to 9%

Private medical insurance

Group Life Insurance

Qualifications

• Experience in railway domain preferred or similar industries.
• Proven experience in prediction/CBM algorithms.
• Experience with machine learning techniques.

Responsibilities

• Improve service quality and equipment reliability.
• Develop prognostic algorithms.
• Monitor prognostic system performances.

Skills

Coding in Python

Statistical analysis

Reliability Centered Maintenance (RCM)

Condition Based Maintenance (CBM)

Big data analysis

Electrical drawing interpretation

Education

Engineering Degree in Electrical or Electronics Engineering

Tools

PowerBI

Pyspark

SQL

Versioning tools (SVN, Git)

Job description

A leading transport solutions provider is seeking a Predictive Maintenance Engineer to optimize maintenance processes and improve service quality at their London HQ. The candidate should have an Engineering Degree in Electrical or Electronics, strong coding skills in Python, and experience in the railway domain or similar industries. Responsibilities include developing prognostic algorithms and analyzing maintenance data to minimize downtime. Competitive salary and benefits are offered, along with a focus on inclusive work culture.