Senior Machine Learning Engineer

Experteer Overview In this role you will design and deploy ML models at scale to drive measurable business impact within Trainline’s cross-functional teams. You will own the end-to-end ML lifecycle, from data exploration to deployment, shaping technical direction and influencing stakeholders. You’ll build tools and frameworks to accelerate ML delivery and mentor engineers, contributing to Trainline’s AI/ML community. This is a chance to work on high-impact models powering search, pricing, and personalized experiences in a sustainability-focused travel platform. Pay / Benefits * Collaborate with data scientists, software engineers, data engineers and product managers in cross-functional teams * Design and deliver scalable ML models that drive measurable business impact * Own end-to-end ML delivery lifecycle: data exploration, feature engineering, model selection, evaluation, deployment and maintenance * Shape technical direction with scalable architecture and modeling decisions * Partner with stakeholders to propose data products leveraging Trainline datasets and algorithms * Build tools, libraries and frameworks to speed up ML delivery and improve team workflows * Provide technical mentorship to less experienced engineers without people management * Actively contribute to the AI/ML community to foster rigorous learning and experimentation Tasks * Advanced degree in Computer Science, Mathematics or related quantitative discipline, or equivalent experience * Experience productionising machine learning models in predictive modelling, classification, regression, optimisation or recommendations * Strong Python proficiency with Pandas, NumPy and Scikit-learn * Solid grounding in statistics and data manipulation/feature engineering * Experience with Spark, agile delivery, and CI/CD practices * Familiarity with DevOps and MLOps tools such as Docker, Terraform and MLFlow * Confident in influencing and communicating with diverse stakeholders across teams * Ideally exposure to cloud infra, NLP/LLMs (e.g., fine-tuning, RAG), graph tech, or GIS; transport sector or GIS experience * Location: London * Employment Type: Full time * Location Type: Hybrid Key requirements * Private healthcare & dental insurance * Generous work from abroad policy * 2-for-1 share purchase plans * EV scheme to reduce carbon emissions * Extra festive time off * Family-friendly benefits

and with stakeholders to propose data products leveraging Trainline datasets and algorithms * Build tools, libraries and frameworks to speed up ML delivery and improve team workflows * Provide technical mentorship to less experienced engineers without people management * Actively contribute to the AI/ML community to foster rigorous learning and experimentation Tasks * Advanced degree in Computer Science, Mathematics or related quantitative discipline, or equivalent experience * Experience productionising machine learning models in predictive modelling, classification, regression, optimisation or recommendations * Strong Python proficiency with Pandas, NumPy and Scikit-learn * Solid grounding in statistics and data manipulation/feature engineering * Experience with Spark, agile delivery, and CI/CD practices * Familiarity with DevOps and MLOps tools such as Docker, Terraform and MLFlow * Confident in influencing and communicating with diverse stakeholders across teams * Ideally exposure to cloud infra, NLP/LLMs (e.g., fine-tuning, RAG), graph tech, or GIS; transport sector or GIS experience * Location: London * Employment Type: Full time * Location Type: Hybrid Key requirements * Private healthcare & dental insurance * Generous work from abroad policy * 2-for-1 share purchase plans * EV scheme to reduce carbon emissions * Extra festive time off * Family-friendly benefits