Senior MLOps Engineer, Buyer

The Buyer domain's Data Science teams build and iterate on our most critical ML systems—like ranking, retrieval, and recommendations—that serve millions of users. As our ambition and the complexity of these models grow, we are scaling our MLOps capabilities to match:

We are hiring an MLOps Engineer to solve this. This is a high-impact "bridge" role, not to build new platforms, but to be the expert user of our existing platforms (GCP/Vertex AI, Vespa, Triton). Your mission is to take our Data Science team's work, rectify the current ad-hoc solutions, and build the robust, automated, and high-quality "path-to-production" our advanced models require.

Also by joining Vinted, you’ll become part of an active community of engineers who are keen on sharing knowledge, organizing learning workshops and so much more!

• Productionise ML models: be responsible for migrating all existing model training code from experimental or proof-of-concept stages to robust and automated pipelines.
• Build continuous training (CT) pipelines: design, build, and maintain automated workflows for data preparation, model training, and batch scoring.
• Automate model serving & integration: package and deploy traditional ML models (e.g., in ONNX format) to our existing serving infrastructure, primarily Vespa and/or Triton.
• Close the deployment loop: automate model deployments where they are still manual. For example, building a GitHub Action that deploys a new model to Vespa, triggered by a webhook from a successful Vertex AI training pipeline.
• Build the missing quality gates: build the automated quality and evaluation gates that our pipelines lack today. This includes:
• Establish and uphold ML Model Lifecycle Standards: Take ownership of and continuously improve the standards, quality, and governance of the complete ML model lifecycle

• We are looking for an "ML-literate" Software Engineer, not a Data Scientist. You are a builder and an automator with a strong service mindset.
• Must-have technical skills: deep expertise in GCP/Vertex AI (or equivalents like SageMaker), Kubernetes, and Docker.
• Automation expertise: proven experience building robust CI/CD and automation pipelines (e.g., GitHub Actions, Jenkins, etc.).
• ML-Literate: you understand ML workflows and concepts (training, evaluation, inference) well enough to debug pipelines and build meaningful quality gates.
• Soft skills: a strong "service mindset," excellent communication, and the ability to act as a bridge between the highly technical worlds of Data Science and Infrastructure. You are pragmatic and driven to get high-quality work into production.

Nice to have

• Bonus Points: familiarity with ML serving platforms like Vespa search engine or NVIDIA Triton and model formats like ONNX.
• Willingness to learn and master new technologies and concepts.
• We value pragmatism, big-picture thinking, curiosity, and problem-solving skills.

• The opportunity to benefit from our share options programme
• 25 working days of holiday
• Access to all the tools & tech needed for work
• Home office support: we provide IT workstation equipment and a personal budget of up to 540 for home workplace furniture
• Private health insurance
• Pension plan with flexible contribution options and a matching contribution from Vinted
• Confidential Employee Assistance Program (EAP) for you and your family
• Frequent team-building events
• A personal monthly budget for shopping on Vinted
• A dog-friendly office
• In Vilnius office: Gym & in-house meals at friendly prices
• In Kaunas office: a monthly lunch allowance, and a once-a-week provided in-house lunch and breakfast