Jobs at Trainline

Own the monetisation strategy and roadmap for major revenue streams such as Partnerships or Insurance. Develop customer-focused merchandising experiences, test and scale revenue features, evaluate pricing and product economics, and identify new growth opportunities. Collaborate with Sales, Partnerships, Finance, Data Science, Design, and Engineering teams across multiple European markets.

Own UK and EU VAT compliance, including return preparation, submissions, payments, and post-filing reviews. Monitor VAT legislation, advise on product launches and commercial arrangements, coordinate external advisers, and improve tax processes through automation and documentation. The role partners closely with Finance, Product, Legal, and HR while providing clear indirect tax guidance and identifying compliance risks and efficiency opportunities.

Lead and grow a team of seven ML and data engineers delivering production machine learning, AI, recommendation, search, commerce, and agentic systems. Own hiring, performance, delivery, technical direction, architecture, MLOps, evaluation, monitoring, responsible AI, and stakeholder communication. Guide reliable data pipelines, model deployment, experimentation, LLM evaluation, and production agent systems using tools such as LangGraph and Amazon Bedrock.

Provides first-line HR support across the employee lifecycle, including onboarding, contracts, payroll inputs, benefits, HRIS data, right-to-work documentation, invoices, and policy administration. Maintains accurate people records, resolves employee queries, supports UK payroll and cyclical HR processes, and contributes to HR systems, process improvements, and AI-enabled solutions. Requires discretion, strong organisation, data literacy, communication skills, and an understanding of UK employment law and payroll requirements.

Build and ship features for Trainline’s iOS app, focusing on media, advertising, and partner experiences. Collaborate with product managers, designers, and engineers to experiment, measure impact, and improve customer experiences. Responsibilities include testing, code reviews, codebase improvement, technical decision-making, mentoring, and owning development through deployment and monitoring.

Develop and productionize machine learning models for search, recommendations, pricing, routing, personalization, marketing, and customer support. Responsibilities include data exploration, feature engineering, model selection, tuning, evaluation, deployment, maintenance, and building tools to accelerate ML delivery. The role collaborates with data scientists, software engineers, data engineers, and product managers while contributing to ML experimentation and scalable production systems.

Senior finance leader owning Group IFRS external reporting, leading year‑end and half‑year audits, producing listed financial statements, and managing subsidiary statutory filings. Acts as technical accounting authority on complex IFRS issues, owns cashflow forecasting and liquidity analysis, drives controls and accounting policy, leads cross‑functional projects, and develops a high‑performing finance team.

Develop and maintain Android features for Trainline’s travel app within a cross-functional product team. Responsibilities include designing and implementing software, delivering new functionality, participating in the full product lifecycle, collaborating with Product, contributing to roadmaps, and using Agile, continuous integration, pair programming, clean code, and quality-focused engineering practices.

Own Group IFRS annual and interim financial statements, annual reporting, statutory accounts, external audits, technical accounting, cash-flow forecasting, and financial controls. The role advises senior leadership and the Audit Committee on complex accounting judgments, liquidity, capital allocation, reporting standards, and accounting policies. It also leads finance projects, supports budgeting and monthly reporting, manages external relationships, and develops high-performing teams across a listed international business.

Lead data science for Trainline’s B2B product organization by uncovering growth opportunities, shaping product roadmaps, defining success metrics, supporting experimentation, and driving data-informed decisions. The role requires communicating complex analyses to senior stakeholders, evaluating product engagement, navigating ambiguous datasets, building predictive models, and using visualization and automation tools to deliver measurable business impact.

Leads the Financial Control management accounts function, overseeing month-end close, balance sheet integrity, working capital, external reporting, accounting policy, controls, budgeting, and Order-to-Cash processes. Manages senior finance leaders, drives automation and continuous improvement, partners with Legal, Commercial, Product, Technology, FP&A, and auditors, and deputises for the Group Financial Controller. The role requires strong IFRS expertise, listed-company governance knowledge, stakeholder management, and qualified accountant status.

Provides executive support to the Chief Product Officer and three cross-functional VPs. Responsibilities include complex calendar and inbox management, leadership meeting coordination, travel planning, event organization, expense reporting, onboarding support, project assistance, and confidential information handling. The role requires strong prioritization, communication, discretion, adaptability, and relationship-building in a fast-paced technology environment. It is hybrid, requiring office attendance at least 60% of the time.

Analyze customer behavior and travel product performance using large datasets. Translate complex findings into actionable recommendations, dashboards, reports, and presentations for technical and non-technical stakeholders. Collaborate with Product, Design, Data Science, and external partners; help define success metrics and support evidence-based decision-making across travel and disruption initiatives.

Own the UK brand strategy and lead integrated campaigns from brief through launch. Translate global strategy into local execution, guide creative agency partners, support product launches, establish campaign measurement and optimization, manage brand tracking and budget, and coach junior team members. The role requires strong consumer brand marketing experience, creative judgment, commercial acumen, stakeholder influence, and comfort using data to drive decisions.

Drive revenue for Trainline Media by acquiring and growing media agency and direct client accounts. Own client relationships, develop data-driven advertising proposals, collaborate on campaign delivery and optimization, manage sales pipelines, negotiate contracts, meet commercial targets, and provide performance insights demonstrating ROI. The role requires strong digital advertising knowledge, relationship-building, presentation, negotiation, and CRM skills.

Own investigations and data-driven solutions across search, supply, and commerce. Analyze complex datasets using SQL and Python, identify incident patterns and product opportunities, connect data sources, and support cross-functional customer experience initiatives. Mentor junior colleagues, guide problem-solving, balance competing priorities, and help convert recurring issues into lasting improvements. Marketplace or product analytics experience is beneficial but not essential.

Leads end-to-end development of Trainline’s consumer brand propositions, especially for new products and markets. Uses customer insight, research, behavioral science, data, and competitor analysis to shape hypotheses and define compelling solutions. Partners with Product, UX, Engineering, Brand, Creative, Growth, and regional teams to launch propositions, establish execution guidelines, define success metrics, and report business and marketing impact to senior stakeholders.

Lead discovery, scoping and delivery of new market and carrier launches across Europe. Own product strategy, prioritize integrations, define success metrics, partner with Engineering, Commercial, Legal, Finance and GTM, and embed AI to accelerate delivery while ensuring commercial and technical feasibility.

Provides Tier 2 workplace technology support across Windows and macOS environments. Responsibilities include incident and service request resolution, ticket management, asset lifecycle administration, employee onboarding and offboarding, AV/VC support, technical troubleshooting, documentation, security compliance, and collaboration with Tier 3 teams. The role is onsite in London and supports internal employees through a Tech Bar, ITSM platform, remote tools, and internal events.

Build scalable data pipelines, data models, feature stores, and cloud-native data applications supporting machine learning workloads. Partner with Machine Learning Engineers and Data Scientists to create reliable datasets, maintain production pipeline quality and observability, and support batch and real-time data systems. The role uses Python, SQL, Spark, Airflow, AWS, CI/CD, and modern data engineering technologies.