Description
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Job title: Machine Learning Engineering Lead
Location:Southampton
Your new role
Here at Hitachi Rail, we have a fantastic opportunity for a Machine Learning Engineering Lead to join our team in Southampton. The primary responsibility is to conduct data science activities to deliver world-class level of condition monitoring. Typical activities will include offline data analysis, productionising algorithms, working with other teams in the larger Perpetuum Onboard team, supporting new product development and delivering insights to customers. This role will involve taking technical leadership of machine learning activities, in particular owning and driving development of the Machine Learning based elements of condition monitoring systems, such as Hitachi Rail’s OLE monitoring system.
Some core responsibilities will include:
1. To work with the Head of Development and Analytics Engineering Manager to develop the Perpetuum Onboard Analytics function for specific items in the latest agreed Development Roadmap, with the objective of providing a world-class level of analytics expertise.
2. To be the principal contact and technical lead for Machine Learning in the team, delivering solutions and technical guidance on this for all aspects of condition monitoring, particularly the OLE monitoring.
3. Lead Machine Learning development projects involving stakeholders across the Hitachi Rail business, co-ordinating activities involving teams in different business units, different time zones and with different skills.
4. To keep abreast of latest developments in Machine Learning techniques, setting out proposals for their inclusion into the Perpetuum Onboard Analytics function, as appropriate. To initiate studies into new approaches for condition monitoring in the rail industry.
5. Drive developments considering internal development roadmaps and client requirements.
6. To carry out data analysis on the sensor data and extract information to provide value to customers. To design new processing when new customers or assets come online, and to regularly refine and improve existing customer's algorithms and thresholds as part of our continual improvement strategy.
7. To write reports documenting the results of each study, appropriately written with the intended audience in mind. Keep internal reports under change control (vault) and follow the ECO process for external reports.
8. To write software as required to support the business requirements and perform data analysis. Keep any software intended for re-use under source control and publicise new software tools / libraries to the team where suitable. Include automated tests for any software that is to be deployed to the cloud / production.
9. To generate images / visualisations / slides for the commercial team demonstrating analytical capabilities and positive results.
About you
10. A minimum of a Master's degree in a STEM subject
11. High degree of competency in a programming language suitable for data analysis
12. Experience analysing complex datasets
13. Demonstratable experience delivering research/technical aspects of projects
14. Understanding of standard Data Science concepts
15. Approximately 3 years’ experience in condition monitoring
What we offer
We value the importance of all of our employees, if you would like to join our fantastic organisation you could be entitled to:
16. Competitive salary
17. Annual Performance bonus paid on discretionary basis.
18. 25 days holiday
19. Pension scheme with contributions up to 9%
20. Private medical insurance
21. Personal Accident insurance
22. Group Income protection
23. Group Life Insurance
24. Employee Assistance Programme
We also offer additionalperks for you to choose from within a flexible plan that will meet your specific needs and lifestyle.
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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 .
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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