Senior MLOps Engineer

The role

You will help shape how Trainline operates AI and ML systems, including infrastructure and tooling for internal platforms and customer-facing products. You will take a leading technical role in helping teams adopt ML and AI tooling and automate service modernisation.

What you will do

• Take a leading technical role in helping teams adopt and operate ML and AI tooling
• Support AI infrastructure and ensure products are well governed, monitored and deployed through automation
• Build and drive adoption of one standard way to deploy ML and AI products
• Automate the modernisation of services across products
• Fix and prevent security vulnerabilities in libraries and dependencies
• Strengthen MLOps foundations by improving cost tracking and standardising engineering practices
• Contribute to technical strategy and evaluate options
• Communicate technical decisions and prioritise requests from ML teams
• Mentor fellow engineers and share knowledge through documentation

Required qualifications

• Hands-on experience with IaC and CI/CD tooling, such as Terraform and GitHub Actions, AWS CloudFormation or Jenkins
• Experience with containerised workloads using Docker and cloud platforms, such as AWS, GCP or Azure
• Experience productionising AI products, including agentic systems and AIOps tooling, ideally using AWS Bedrock AgentCore or similar
• Experience with managed or self-hosted ML infrastructure, such as Amazon SageMaker, feature stores like Feast and DAG tooling like Airflow or Metaflow
• Experience with model experiment tracking, such as MLflow or Weights & Biases, and monitoring tools such as EvidentlyAI, CometML, Grafana or New Relic
• Experience writing production-quality, tested Python code
• Experience leading or contributing significantly to major platform changes and migrations
• Ability to lead technical work through ambiguity
• Clear communication and sound prioritisation
• Track record of getting other teams to adopt shared standards and of mentoring colleagues

Nice to have

• Knowledge of cloud topics such as networking fundamentals (VPC, security groups, CDN, WAF, etc.) and identity and access management (IAM, EntraID, SSO, etc.)
• Experience with Spacelift, Braintrust and ElevenLabs

Benefits

• Private healthcare & dental insurance
• Generous work from abroad policy
• 2-for-1 share purchase plans
• EV Scheme
• Extra festive time off
• Family-friendly benefits
• Clear career paths
• Transparent pay bands
• Personal learning budgets
• Regular learning days

About the company

Trainline is Europe’s leading independent rail platform that helps travellers find and book rail and coach journeys. The company aims to empower greener travel choices.