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- Tasks: Lead a team to develop impactful machine learning models for sustainable travel solutions.
- Company: Join Trainline, Europe's top rail app, committed to eco-friendly travel.
- Benefits: Enjoy private healthcare, flexible work options, and generous learning budgets.
- Why this job: Shape the future of travel with cutting-edge AI and ML technologies.
- Qualifications: Advanced degree in a quantitative field and leadership experience required.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
The predicted salary is between 80000 - 100000 £ per year.
About us
We are champions of rail, inspired to build a greener, more sustainable future of travel. 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. Now Europe’s number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be. Today, we are a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey.
Introducing Machine Learning and AI at Trainline
Machine learning is at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our ML models power critical aspects of our platform, including:
- AI agents improving customer support
- 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 generative AI
- Data-driven digital marketing systems
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.
We are looking for a Machine Learning Engineering Manager to join our team to help shape the future of train travel. You will be part of a highly innovative AI and ML platform working alongside engineers, scientists and product managers to tackle complex challenges 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.
As a part of Trainline you will be joining an environment where learning and development is top priority. You will have the opportunity to work with fellow ML enthusiasts on large-scale production systems, delivering highly impactful products that make a difference to our millions of users.
As a Machine Learning Engineering Manager at Trainline you will...
- Lead a high performing team of Machine Learning Engineers working alongside Software Engineers, Data Scientists, Data Engineers and Product Managers
- Ensure delivery of high-quality machine learning models and AI Systems at scale that drive measurable impact for our business
- Own the full end to end machine 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
- 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 or a similar quantitative discipline
- Have leadership experience either through previous management or mentorship
- Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.)
- Have experience productionising machine learning models
- Are an expert in at least one of: predictive modelling, classification, regression, optimisation or recommendation systems
- Have experience with Spark
- Have knowledge of DevOps 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 understanding of data extraction, data manipulation and feature engineering techniques
- Are familiar with statistical methodologies
- Have good communication skills
Nice to have
- Experience with transport industry and/or geographical information systems (GIS)
- Experience with cloud infrastructure
- Understanding of NLP algorithms and techniques and/or experience with Large Language Models (fine tuning, RAG, agents)
- Experience with graph technology and/or algorithms
Our technology stack
- Python and associated ML/DS libraries (scikit-learn, numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc..)
- PySpark
- AWS cloud infrastructure: EMR, ECS, Athena, etc.
- MLOps: Terraform, Docker, Airflow, MLFlow
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. Jump on board and supercharge your career from day one!
We operate a hybrid model to work 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.
Our values represent the things that matter most to us and what we live and breathe every day, in everything we do:
- 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. That’s why we’re committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated.
Interested in finding out more about what it’s like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!
Machine Learning Engineering Manager - Supply in London employer: Trainline
Contact Detail:
Trainline Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineering Manager - Supply in London
✨Tip Number 1
Network like a pro! Reach out to current or former Trainliners on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about machine learning concepts and your past projects. We want to see your passion and expertise shine through!
✨Tip Number 3
Show us your problem-solving skills! Be ready to tackle some real-world scenarios during the interview. Think about how you would apply your knowledge to improve Trainline’s services and make travel easier for everyone.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can leave a lasting impression and shows that you’re genuinely interested in joining our team at Trainline.
We think you need these skills to ace Machine Learning Engineering Manager - Supply in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineering Manager role. Highlight your leadership experience and technical skills that align with our needs, like Python proficiency and ML model productionisation.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about sustainable travel and how your expertise can contribute to our mission. Be genuine and let your personality shine through!
Showcase Relevant Projects: Include specific examples of projects you've worked on that demonstrate your skills in machine learning and AI. We love seeing how you've tackled complex challenges and delivered impactful solutions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Trainline!
How to prepare for a job interview at Trainline
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially those mentioned in the job description. Be ready to discuss your experience with Python and relevant libraries like Pandas and Scikit-learn. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to productionising models.
✨Showcase Your Leadership Skills
As a Machine Learning Engineering Manager, you'll need to demonstrate your leadership experience. Prepare examples of how you've led teams or mentored others in the past. Highlight any successful projects where your guidance made a difference, especially in a collaborative environment.
✨Understand Their Mission
Trainline is all about sustainable travel, so make sure you understand their goals and how machine learning fits into that vision. Be prepared to discuss how your skills can contribute to their mission of making travel simpler and more eco-friendly. This shows you’re not just interested in the role, but also in their values.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about their ML community, the challenges they face, or how they measure the impact of their models. This not only shows your interest but also helps you gauge if Trainline is the right fit for you.