Machine Learning Engineering Manager
Core
Lead a team of 7 ML and data engineers to build production-grade agentic systems, search, supply, and commerce features for a rail travel platform.
Role type
Senior IC machine learning engineering manager (agentic systems)
Builds
Production ML and AI systems for search, supply, and commerce
Domain
Travel technology, AI agents, LLMs
Deliverable
production ML models
Required skills
Line management, ML engineering, data engineering, Python, statistics, experimentation, cloud infrastructure, agentic/LLM systems, evaluation frameworks
Preferred skills
Ranking, recommendation, predictive modelling, optimisation, NLP, MLOps
Technologies
Python, AWS, S3, Athena, Spark, Airflow, MLflow, Docker, ECS, Terraform, LangGraph, Amazon Bedrock, Braintrust
Responsibilities
Lead, coach, and grow a team of ML and data engineers; Hire for the team; Own delivery of ML and AI systems; Set technical direction for team's systems; Ensure team builds well across the whole lifecycle; Lead the team in building production-grade agentic systems; Make evaluation a first-class engineering discipline; Set guardrails for responsible use of AI; Raise the bar on engineering practice; Build strong relationships with senior leaders and partner teams; Contribute to the wider AI and ML community
Seniority
Senior, hands-on IC
