Visium SA

Staff AI Engineer

🇪🇸 Barcelona, ES Hybrid IT Full time Lead Posted May 8, 2026
LocationBarcelona, ES
WorkplaceHybrid
EmploymentFull time
SeniorityLead
CategoryIT
IT CategoryData Science & ML
LanguageEnglish
PostedMay 8, 2026
Last verifiedMay 9, 2026

Type: Full-time

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 Visiumees.

Ready to become one?

Role

As a Staff Machine Learning Engineer,  you will own the most technically complex and high-impact projects from conceptualization over architecture design to production deployment. 

You will:

  • Set direction for a technical team, ensuring architectural excellence and long-term solution maintainability.
  • Lead and mentor junior and senior engineers, raising the technical bar across projects.
  • Stay hands-on with high quality code contributions to data processing, modeling and deployment pipelines while delegating effectively.
  • Partner with clients to translate complex business challenges into clear technical roadmaps and deliver measurable business outcomes.
  • Drive adoption of modern ML best practices and state-of-the-art methodology from system design and architecture over modelling to MLOps.

 

You are not only passionate about machine learning, but also about shaping how data-driven insights create value for our clients. You thrive in dynamic environments, balancing hands-on technical work with strategic decision-making and team leadership.

This role goes beyond building models: you will be responsible for technical strategy, quality standards and growing engineering talent, shaping the future of our ML delivery practice.

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