💻 Junior Machine Learning Engineer 📍Location (Hybrid, 40% in office) 💸 £40,000 + Benefits 

Introducing Signalbox at Trainline 👋 

Signalbox is a pioneering technology that uses location data and machine-learning 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 real-time information direct to travellers.  

Signalbox is a growing team that’s increasingly integrated across the organisation, driving the delivery of geolocation-enhanced 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 location-based technologies to the market. Your contributions will include building prototypes to test feasibility and developing algorithms that will be deployed in real-world products. 

As a part of Trainline you will not only receive a competitive salary and benefits, but you’ll be joining an environment where your personal development is a top priority. You’ll be part of a passionate team working on large-scale 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 real-world applications. 
• Work as part of a multi-disciplinary 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  

We'd 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 location-based applications, along with experience analysing geospatial data. 
• Communicate clearly and enjoy presenting your ideas and work to both technical and non-technical colleagues. 

Nice to have 😍 

• Experience with SQL using databases such as MySQL, PostgreSQL, Athena, and Redshift.  
• Familiarity with cloud-based 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 don’t 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.