Machine Learning Engineer at Trainline

Trainline

London·9h ago

Mid LevelFull-timePythonRustRailsAWSDockerMachine LearningPyTorchCI/CDAIML

Salary Range

$76,500 - $103,500 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Machine Learning Engineer to join Trainline's AI & ML community. This role focuses on designing, building, and operating LLM-powered and predictive ML systems in production, working on agentic AI systems like our Travel Assistant and Voice AI initiatives.

Key Responsibilities

→Design and build LLM-powered agentic systems using frameworks such as LangGraph and LangChain
→Develop and optimise RAG pipelines, tool-using agents, and multi-step workflows with appropriate guardrails and validation
→Monitor and evaluate model and agent performance using appropriate ML metrics
→Maintain and improve traditional ML models alongside newer GenAI capabilities
→Partner closely with stakeholders to frame problems, define success metrics, and deliver measurable business impact
→Take ownership of technical initiatives, driving delivery from ideation through to production and iteration
→Contribute to our wider AI & ML community through knowledge sharing, experimentation, and continuous learning

Requirements

✓Strong experience in Machine Learning with solid foundations in the ML lifecycle, evaluation methodologies, and statistical thinking
✓Hands-on experience with GenAI, Large Language Models, and NLP techniques, including RAG and agent-based systems
✓Proficiency in Python and common ML libraries (e.g. PyTorch, scikit-learn, XGBoost, Pandas)
✓Experience deploying and operating ML or AI systems in production environments
✓Understanding of ML Ops and DevOps principles (e.g. Docker, CI/CD, infrastructure as code)
✓Experience working with cloud infrastructure (preferably AWS)
✓Ability to take ownership of technical tasks and proactively drive solutions forward