Senior Machine Learning Engineer, Trainline

• Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline
• Understanding of NLP algorithms and techniques and/or experience with Large Language Models (fine tuning, RAG, agents)
• Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.)
• Have experience productionising machine learning models
• Are an expert in one of predictive modeling, classification, regression, optimisation or recommendation systems
• Have experience with Spark
• Have knowledge of DevOps technologies such as Docker and Terraform and ML Ops practices and platforms like ML Flow
• Have experience with agile delivery methodologies and CI/CD processes and tools
• Have a broad of understanding of data extraction, data manipulation and feature engineering techniques
• Are familiar with statistical methodologies
• Have good communication skills

Desirable

• Machine learning is at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our AI systems power critical aspects of our platform, including:
• AI agents improving customer support and changing how we travel
• Advanced search and recommendations capabilities across our mobile and web applications
• Pricing and routing optimisations to find the best fares for customers
• 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 Machine Learning Engineer to join the Product ML team to help shape the future of train travel
• You will build highly innovative AI and ML products working alongside engineers, scientists and product managers to tackle complex challenges by combining Trainline’s rich data sets with cutting edge algorithms
• 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 Trainline’s 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
• Work in cross-functional teams combining data scientists, software, data and machine learning engineers, and product managers
• Design and deliver NLP based machine learning systems at scale that drive measurable impact for our business
• Own the full end to end machine learning delivery lifecycle including data exploration, feature engineering, model selection and tuning, offline and online evaluation, deployments and maintenance
• Partner with stakeholders to propose innovative data products that leverage Trainline’s extensive datasets and state of the art algorithms
• Create the tools, frameworks and libraries that enables the acceleration of our ML products delivery and improve our workflows
• Take an active part in our AI and ML community and foster a culture of rigorous learning and experimentation
• Our technology stack:
• Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc...)
• PySpark
• AWS cloud infrastructure: EMR, ECS, Athena, etc
• MLOps: Terraform, Docker, Airflow, MLFlow