Senior MLOps Engineer, Buyer

Vinteden; Deutschland; On-site; EUR 100,000 - 140,000; Full time

Benefits offered by this job

Share options program

25 days paid annual leave

Latest MacBook models

Employee EAP for you and family

Frequent team-building events

Home office budget up to €540 for home

Daily lunch allowance

Company bike leasing

Monthly benefits platform budget

Work from Home allowance

Pension plan

Job summary

Vinted is seeking an ML-literate Software Engineer to build and scale ML systems for the Buyer domain. You will productionise models, design CT pipelines, and automate serving with Vespa or Triton. You will bridge Data Science and Infrastructure with a service mindset and strong automation skills.

You should be comfortable with GCP/Vertex AI, Kubernetes, Docker, and modern CI/CD tools like GitHub Actions and Jenkins. The role offers growth and a chance to impact millions of users in Europe.

Qualifications

• 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: understand ML workflows and concepts (training, evaluation, inference) to debug pipelines and build quality gates.
• Soft skills: strong service mindset, excellent communication, bridge between Data Science and Infrastructure.

Responsibilities

• Productionise ML models: migrate existing training code to robust automated pipelines.
• Build continuous training (CT) pipelines for data prep, model training, and batch scoring.
• Automate model serving & integration: deploy models to Vespa and/or Triton.
• Close the deployment loop: automate deployments with workflows/Actions.
• Build automated quality gates and ML lifecycle standards across the pipeline.

Skills

GCP/Vertex AI

Kubernetes

Docker

CI/CD

GitHub Actions

Jenkins

ML concepts

Tools

Vespa

NVIDIA Triton

ONNX

Job description

Brief info about Vinted

Our mission is to make second-hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved clothing and lifestyle items, giving each piece a second life - or even a third.

The Vinted Group is made up of three business units that support this mission:

Vinted Marketplace

Vinted Marketplace is Europe's leading platform for second-hand fashion and a go-to destination for all kinds of pre-loved items, with a growing range of categories. Our platform connects millions of members across 20+ markets, helping great items find a new life.

Vinted Go

Vinted Go enhances the shipping experience with a vast network of over 500,000 pick-up and drop-off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high-value pieces.

Vinted Pay

Vinted Pay is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe. Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members.

Founded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed. In 2019, we became Lithuania's first unicorn! Today, our headquarters remain in Vilnius, and we've grown with offices across Europe, supported by a team of over 2,000 people.

Information about the position

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:

In this position, you'll

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.

About you

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.

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.

Work perks

• The opportunity to benefit from our share options programme
• 25 days of paid annual leave
• Newest MacBook models
• Confidential Employee Assistance Program (EAP) for you and your family
• Frequent team-building events
• Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
• A daily lunch allowance
• Company bike leasing scheme
• Monthly budget for a flexible benefits platform
• Work from Home allowance
• Collective Defined Contribution Pension plan
• A personal monthly bud