Machine Learning - Engineering Director

13 Days Old

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.
Now Europes 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.
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
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 MLOps Engineering Manager to join our team and help shape the future of train travel. You will be part of a highly innovative AI and ML team working alongside engineers, scientists and product managers to tackle complex challenges by combining Trainlines rich datasets with cutting edge algorithms to build our next generation platform. 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 Trainlines 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 MLOps Engineering Manager at Trainline you will...
Build a new team of MLOps Engineers working alongside ML Engineers, Data Engineers, Software Engineers, Data Scientists and Product Managers
Own the deployment and operations of machine learning products
Ensure delivery of high-quality, scalable and maintainable machine learning models and AI Systems that drive measurable impact for our business
Act as a bridge between engineering and data, ensuring engineering standards are met while understanding the specificities of data, AI and machine learning challenges
Take an active part in our AI and ML community and foster a culture of rigorous experimentation, testing and learning
Have experience productionising batch and online Machine Learning models (such as classification & regression problems, recommendation systems, Large Language Models...) Are familiar with the ML development lifecycle and have a broad understanding of data extraction, feature engineering, modelling and evaluation techniques.
Have experience with Cloud infrastructure (ideally AWS), DevOps technologies such as Docker or Terraform and CI/CD processes and tools.
Have previously worked with MLOps tools like MLFlow and Airflow, or on common problems such as model and API monitoring, data drift and validation, autoscaling, access permissions...
Have previously worked with monitoring tools such as New Relic or Grafana
Understand the use of feature stores and related data technologies for operational machine learning products
Are proficient with Python and have Spark knowledge.
Python and associated ML/DS libraries (scikit-learn, numpy, pandas, LightGBM, LangChain/LangGraph, TensorFlow, etc...)
AWS cloud infrastructure: Monitoring: New Relic
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. Think Big - We're building the future of rail
Travel Together - We're one team
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.
Apply
Location:
London
Job Type:
FullTime

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