MLOps Engineer

Job title: MLOps Engineer Start date: January 2026 Location: Barcelona About Us At Visium, we enable enterprise executives in defining their AI & Data strategy, execute large scale transformations and implement AI across operations, ensuring their organization becomes future-proof. With expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, we empower our clients to unleash and scale the power of their data. We’re on a mission to pioneer a bright future and build future-proof and ethical organizations . Join the curious, the ambitious, the doers, the good-hearted, the ones who build a world we’re all in awe of – our Visumees. Ready to become one? Role As an MLOps Engineer, you’ll design, build, and operate scalable ML infrastructure and observability solutions that power AI systems in production. You’ll be at the intersection of data science, engineering, and cloud architecture - enabling teams to deploy, monitor, and continuously improve machine learning models with confidence. You’ll collaborate with talented ML Engineers, Data Scientists, and DevOps experts across our global team, and help shape the future of MLOps at Visium as we continue to grow internationally. As a MLOps Engineer, you'll Design and maintain MLOps pipelines and cloud infrastructure to support the full ML lifecycle. Implement and operate Grafana-based monitoring solutions for model and system observability. Collaborate with cross-functional teams to standardize CI/CD, automate deployments, and optimize performance. Contribute to internal frameworks and templates that make AI deployment faster, safer, and more reliable. Share knowledge and best practices to strengthen Visium’s MLOps community. Requirements You bring technical strength, curiosity, and a drive to build meaningful AI systems.

Here's what helps you succeed in this role:

3–5 years of experience in MLOps, DevOps, or Machine Learning Engineering.

• Proficiency in Python, CI/CD pipelines, and containerization (Docker, Kubernetes).
• Experience with MLflow, DVC, Airflow, or Kubeflow.
• Familiarity with AWS, GCP, or Azure.
• Experience with Databricks, Dataiku, or Snowflake.
• A team player mindset and a passion for making AI systems reliable, observable, and scalable.
• Fluent in English, German and/or French will be considered a plus.
• Hands-on experience with Grafana will be considered a plus.
• Prior consulting or client-facing experience will be considered a plus.

What we offer A competitive compensation package A yearly education budget to steep your learning curve A yearly sport budget because a fit body leads to a fit mind A flexible working culture because your work-life balance matters to us A position that enables you to have an impact on 1’000s of people, and the whole company's growth. An international, knowledgeable, and passionate team with a strong collaborative mindset Check our LinkedIn and website to learn more about us & don’t hesitate to contact us if you have any questions.