Senior MLOps Engineer

As Senior MLOps Engineer at Trainline, you lead the technical direction for ML and AI tooling across the platform. You’ll shape infrastructure and automation for internal ML/AI systems and customer-focused products, delivering reliable, governed deployments. You’ll work with cross-functional teams to raise the bar on platform quality, enable rapid onboarding of new AI initiatives, and mentor others. A meaningful opportunity to influence how Trainline scales ML at pace and maintains security and cost discipline.

• Private healthcare & dental insurance
• Work from abroad policy
• 2-for-1 share purchase plans
• EV Scheme to reduce carbon emissions
• Extra festive time off
• Family-friendly benefits

• Take a leading technical role to promote ML/AI tooling adoption across teams
• Support AI infrastructure to ensure governance, monitoring, and automated deployment
• Drive a standard deployment approach for ML/AI products to accelerate production onboarding
• Automate service modernization, fix/prevent security vulnerabilities in libraries and dependencies
• Strengthen MLOps foundations with cost tracking, security improvements, and standardized practices
• Contribute to technical strategy and evaluate options with ambiguity
• Communicate decisions clearly and help prioritize ML requests
• Mentor engineers and share knowledge through documentation and enablement across the organization

• IaC and CI/CD tooling proficiency (Terraform, GitHub Actions; CloudFormation/Jenkins are relevant)
• Experience with containerized workloads (Docker) and cloud platforms (AWS preferred, GCP/Azure considered)
• Productionising AI products, including agentic systems and AIOps tooling (AWS Bedrock AgentCore or similar)
• Experience with managed/self-hosted ML infra (e.g., SageMaker, feature stores like Feast, DAG tooling such as Airflow/Metaflow)
• Model experiment tracking (MLflow or Weights & Biases) and monitoring tools (EvidentlyAI, CometML, Grafana, New Relic)
• Production-quality, tested Python code
• Experience leading or contributing to major platform changes and migrations; ability to drive work through ambiguity
• Strong communication, prioritisation, and mentoring track record

• Clear communication
• Strong prioritisation
• Mentoring colleagues
• Terraform
• GitHub Actions
• AWS CloudFormation