At a Glance
- Tasks: Join a team of experts to design and deliver impactful machine learning solutions for sustainable travel.
- Company: Trainline, Europe's leading independent rail platform focused on greener travel choices.
- Benefits: Enjoy private healthcare, generous work-from-abroad policy, and excellent career growth opportunities.
- Other info: Collaborative environment with a strong focus on diversity and personal development.
- Why this job: Shape the future of travel with cutting-edge AI and ML technologies that make a real difference.
- Qualifications: Advanced degree in a quantitative field and proficiency in Python and machine learning.
The predicted salary is between 63000 - 77000 £ per year.
About us At Trainline, our purpose is to empower greener travel choices, connecting people and places.
Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels.
Great journeys start with Trainline We're Europe's leading independent rail platform, helping millions of travellers find and book the best-value rail and coach journeys across our app, website and partner channels.
Our job is to make the green travel choice the best choice.
By building a better train travel experience, we help more people choose rail - creating a positive impact for customers, our business and the planet.
Now is a brilliant time to join us and help shape the future of travel.
Introducing Machine Learning & AI at Trainline Machine learning and AI are at the core of how Trainline is transforming travel, helping millions of customers make smarter, more sustainable journeys every day.
Our ML models and AI solutions power critical aspects of our platform, including: Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find the best fares for customers Personalised user experiences enhanced by agentic AIData-driven digital marketing systems AI agents improving customer support Our machine learning teams own the complete delivery lifecycle from ideation to production.
We work closely with stakeholders across the business to expand the understanding and impact of machine learning and AI throughout Trainline.
About The Role We are looking for Machine Learning Engineers to join our team help shape the future of train travel.
You'll be joining a high-performing, deeply technical community of Machine Learning Engineers, Data Scientists, and Data Engineers to tackle complex problems by combining Trainline's rich datasets with cutting edge algorithms.
What unites our team is an expertise in the field, a love of what we do and the desire to create impactful solutions to support Trainline's goals of encouraging sustainable travel.
You will have the opportunity to work with fellow ML & AI enthusiasts on large-scale production systems, delivering highly impactful products that make a difference to our millions of customers.
As a Machine Learning Engineer at Trainline you will...
Work in cross-functional teams combining data scientists, software, data and machine learning engineers, and product managers Design and deliver machine learning models and/or AI solutions at scale that drive measurable impact for Trainline Own the full end-to-endmachine learning delivery lifecycle including data exploration, feature engineering, model selection and tuning, offline and online evaluation, deployments and maintenance Partner with stakeholders to propose innovative data products that leverage Trainline's extensive datasets and state of the art algorithms Create the tools, frameworks and libraries that enables the acceleration of our ML & AI products delivery and improve our workflows Take an active part in our AI and ML community and foster a culture of rigorous learning and experimentation We'd love to hear from you if you...
Have an advanced degree in Computer Science, Mathematics, Statistics or a similar quantitative discipline Are proficient with Python, including open-source data libraries (e.
Have experience productionising machine learning models and/or AI solutions Are an expert in one of predictive modelling, classification, regression, optimisation, NLP algorithms or recommendation systems Have experience with Spark Have knowledge of Dev Ops technologies such as Docker and Terraform and ML Ops practices and platforms like ML Flow Have experience with agile delivery methodologies and CI/CD processes and tools Have a broad of understanding of data extraction, data manipulation and feature engineering techniques Are familiar with statistical methodologies Have great communication skills Nice to have: Experience with transport industry and/or geographical information systems (GIS)Experience with cloud infrastructure Experience with Large Language Models (fine tuning, RAG, agents)Experience with graph technology and/or algorithms More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits.
We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days.
We're operating a hybrid model and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period.
We also have a 28-day Work from Abroad policy.
Think Big - We're building the future of rail Own It - We focus on every customer, partner and journey Travel Together - We're one team Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed.
And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought.
Machine Learning Engineer - Hybrid Remote in London employer: Trainline
Trainline is an exceptional employer, dedicated to fostering a culture of innovation and sustainability in the travel industry. With a strong emphasis on employee growth, we offer clear career paths, personal learning budgets, and a supportive environment for mentorship and collaboration. Our hybrid work model, generous benefits, and commitment to diversity make Trainline a rewarding place to build a meaningful career while contributing to a greener future.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Hybrid Remote in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Trainline!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Machine Learning Engineer - Hybrid Remote at Trainline.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Trainline.
✨Apply Directly through Our Website
When you find a suitable opening like Machine Learning Engineer - Hybrid Remote at Trainline, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Machine Learning Engineer - Hybrid Remote in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Trainline, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Trainline. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Trainline
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Trainline!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
