Junior Machine Learning Engineer - Geospatial

Trainline
London
3 weeks ago
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Junior Machine Learning Engineer Location (Hybrid 40% in office) 40000 Benefits 

Introducing Signalbox at Trainline  

Signalbox is a pioneering technology that uses location data and machinelearning algorithms to detect track and map trains in real time. By leveraging the location data in our smartphones Signalbox can identify the train a device is on and deliver personalised realtime information direct to travellers.  

Signalbox is a growing team thats increasingly integrated across the organisation driving the delivery of geolocationenhanced tools and features from ideation to production. 

We are looking for a Geospatial Machine Learning Engineer to join the Signalbox team within Trainline. This team is focused on building innovative train tracking and mapping tools that use machine learning to improve the rail passenger experience.  

In this role you will collaborate with our research and development team which is dedicated to bringing geospatial and locationbased technologies to the market. Your contributions will include building prototypes to test feasibility and developing algorithms that will be deployed in realworld products. 

As a part of Trainline you will not only receive a competitive salary and benefits but youll be joining an environment where your personal development is a top priority. Youll be part of a passionate team working on largescale production systems that deliver impactful solutions used by millions of users. 

As a Junior Machine Learning Engineer at Trainline you will...   

  • Build machine learning pipelines that improve train tracking enhancing the passenger experience. 
  • Contribute to testing and validating new products and services to ensure they are ready for realworld applications. 
  • Work as part of a multidisciplinary team sharing knowledge with developers data scientists and geospatial engineers to ship new features and products.   
  • Create tools frameworks and processes to improve the speed efficiency and reliability of production services  

Wed love to hear from you if you...   

  • Hold a degree in mathematics physics statistics engineering or another quantitative field or bring relevant professional experience.  
  • Have experience designing machine learning algorithms including feature engineering model selection and hyperparameter tuning. 
  • Are comfortable working with Python data science libraries such as Jupyter Notebooks Numpy Pandas and SciKit Learn. 
  • Can effectively visualise data and confidently communicate insights to colleagues from a range of disciplines. 
  • Have an interest in maps and locationbased applications along with experience analysing geospatial data. 
  • Communicate clearly and enjoy presenting your ideas and work to both technical and nontechnical colleagues. 

Nice to have  

  • Experience with SQL using databases such as MySQL PostgreSQL Athena and Redshift.  
  • Familiarity with cloudbased platforms like AWS and CI/CD processes using tools like GitHub Actions.   
  • Some knowledge of geospatial analysis techniques using network graphs and tools like QGIS and/or ArcGIS.  

If you dont meet every requirement listed but feel this role is a good fit for your skills and career goals we encourage you to apply. We are looking for individuals who bring diverse ideas and perspectives to the team.


Additional Information :

Enjoy fantastic perks like private healthcare & dental insurance a generous work from abroad policy 2for1 share purchase plans extra festive time off and excellent familyfriendly benefits.

We prioritise career growth with clear career paths transparent pay bands personal learning budgets and regular learning days. Jump on board and supercharge your career from day one!

Our values represent the things that matter most to us and what we live and breathe every day in everything we do:

  •  Think Big Were building the future of rail
  •  Own It We focus on every customer partner and journey
  • Travel Together Were one team
  •  Do Good  We make a positive impact

Interested in finding out more about what its like to work at Trainline Why not check us out on LinkedIn Instagram and Glassdoor.


Remote Work :

No


Employment Type :

Fulltime


Key Skills
Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting
Vacancy:1

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