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As the Head of Machine Learning Engineering, you will define the ML strategy, lead teams, deliver scalable solutions, and shape AI governance for enhanced customer travel experiences.

As a .NET Engineer at Trainline, you will develop features, ensure code quality, mentor team members, and manage the development lifecycle.

Join Trainline as a mid-level Site Reliability Engineer to improve platform reliability and observability, participate in incident response and on-call rotation, build and maintain monitoring/alerting, support AWS-hosted infrastructure using IaC and CI/CD (Terraform, GitHub Actions), collaborate with product teams, and write scripts and tooling to improve reliability and scalability.

Build and improve Trainline's infrastructure platform using Terraform and AWS, automate tasks with Node.js/Python, apply secure-by-default principles, test and deploy via CI/CD, collaborate with platform and engineering stakeholders, and deliver reliable, maintainable infrastructure changes.

Lead design for Trainline's New Business expansion into hotels, car hire, insurance and advertising. Build and hire a UX team, run rapid prototyping and experimentation, embed AI in design practice, define research roadmaps, and ensure new verticals integrate coherently with the core Trainline product.

The Senior Backend Engineer will develop features, improve code quality, mentor others, and manage the development lifecycle while focusing on customer priorities and technical decisions.

Design, build and operate backend services in C#/.NET; own full development lifecycle, mentor teammates, improve reliability, observability, CI/CD, and scale microservices across AWS.

Design, implement and improve Trainline's infrastructure platform using Terraform and AWS. Build automation and tooling in Node.js or Python, enforce secure-by-default cloud patterns, test and deploy via CI/CD, mentor mid-level engineers, collaborate across teams, and manage multi-account, multi-region, and enterprise-scale platform concerns to deliver reliable, scalable infrastructure.

Own and maintain Trainline's Pigment FP&A platform, build and govern planning/reporting models, automate Excel/PowerPoint workflows, enable self-service tools, integrate data with engineering, and drive model governance, testing, and rollout of new Pigment features.

Provide first- and second-line IT support for Trainline employees: manage tickets and SLAs, troubleshoot Windows/macOS/mobile devices, run MDM and asset lifecycle, handle onboarding/offboarding, maintain AV/VC systems, follow security and compliance standards, contribute to documentation, automation and cross-region support.