3 months ago
London, United KingdomSenior
Responsibilities
- Collaborate with data scientists, software engineers, data engineers, and product managers in cross-functional teams.
- Design and deliver machine learning models at scale with measurable business impact.
- Own the end-to-end ML lifecycle, including data exploration, feature engineering, model selection, tuning, evaluation, deployment, and maintenance.
- Shape technical direction and make scalable architectural and modelling decisions.
- Partner with stakeholders to propose innovative data products using Trainline’s datasets and current algorithms.
- Build tools, frameworks, and libraries that accelerate ML product delivery and improve workflows.
- Mentor less experienced engineers without formal people management responsibility.
- Participate in Trainline’s AI and ML community and promote rigorous learning and experimentation.
Requirements
- Advanced degree in Computer Science, Mathematics, or a related quantitative discipline, or equivalent experience.
- Considerable experience productionising machine learning models in areas such as predictive modelling, classification, regression, optimisation, or recommendation systems.
- Strong proficiency in Python, Pandas, NumPy, and Scikit-learn.
- Strong grounding in statistical methodologies, data extraction, data manipulation, and feature engineering.
- Experience with Spark, agile delivery methods, and CI/CD practices.
- Familiarity with DevOps and MLOps tools and practices, including Docker, Terraform, and MLFlow.
- Confidence communicating with and influencing technical and non-technical stakeholders.
- Preferred experience includes cloud infrastructure, NLP, large language models, fine-tuning, RAG, agents, graph technologies, transport, or geographic information systems.
Benefits
- Private healthcare and dental insurance, a work-from-abroad policy, 2-for-1 share purchase plans, an EV Scheme, extra festive time off, and family-friendly benefits.
- Clear career paths, transparent pay bands, personal learning budgets, and regular learning days.
- Hybrid work model requiring office attendance at least 60% of the time over a 12-week period.
- 28-day Work from Abroad policy.
Tech Stack
Categories
About Trainline
Trainline builds an online marketplace and software that let consumers and partners search, book, and manage rail and coach travel via its apps, website, and APIs. It aggregates schedules and fares from over 270 carriers across roughly 45 countries, supports e-ticketing, payments, and disruption information, and earns commissions and fees on ticket sales. Founded in 1997 and headquartered in London, it is a public company listed on the London Stock Exchange.