Q-Tech is currently looking for an MLOps Engineer to join one of Europe's leading online marketplaces.
The company is investing heavily in Artificial Intelligence and Machine Learning, and is looking for an engineer who can help build the infrastructure, tooling and processes required to bring ML models and AI systems reliably into production.
The role sits at the intersection of Machine Learning, Software Engineering, Cloud Infrastructure and Platform Engineering, working closely with Data Scientists, ML Engineers and Software Engineers.
Responsibilities
Build and improve MLOps and ML platform infrastructure
Automate Machine Learning workflows and model lifecycles
Support the deployment, scaling and monitoring of ML models in production
Develop reusable tooling and platforms for Data Science and ML teams
Improve the reliability, scalability and observability of ML systemS
Contribute to architecture decisions and engineering best practices
Work with cloud-native infrastructure and modern DevOps practices
Requirements
The ideal candidate will have:
Professional experience in MLOps, ML Platform Engineering, ML Infrastructure or Machine Learning Engineering
Strong software engineering skills, particularly in Python
Experience deploying and operating Machine Learning systems in production
Experience with cloud platforms such as AWS, GCP or Azure
Experience with technologies such as Docker, Kubernetes,



CI/CD and Infrastructure as Code
A strong understanding of scalability, reliability and observability in production environments
Experience with model serving, distributed systems, ML pipelines or cloud-native architectures will be highly valued.
Flexible working hours designed to support a healthy work-life balance
Competitive salary package and additional benefits
Adaptable compensation and benefits programme, including options such as meal vouchers, transport and other benefits
Private health insurance
Learning and development opportunities, including access to training and professional development resources
Technical conferences and events to support continuous learning and knowledge sharing
Employee discounts and exclusive offers through the company's benefits programme
Modern offices in Barcelona and a collaborative, international working environment
This is an opportunity to work on the infrastructure powering Machine Learning and AI products at significant scale, collaborating with highly skilled Engineering, Data and ML teams.
The successful candidate will have the opportunity to influence the evolution of the company's ML platform, solve complex infrastructure challenges and contribute directly to the development of the company's AI capabilities within one of Europe's leading technology companies.
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📌 Mlops Engineer (Barcelona)
🏢 Q-Tech
📍 Barcelona