About the job
Position: Lead Machine Learning Engineer
Type: Full-time
Location: Barcelona or Valencia
About Us
At Visium, we empower enterprise leaders to define their AI and data strategies, execute transformative initiatives, and implement AI-driven solutions across their operations, ensuring their organizations are ready for the future. With deep expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence, and machine learning, we help our clients harness the full potential of their data.
Our mission is to pioneer a sustainable and ethical future, building organizations that inspire. Join our team of curious, ambitious, and dedicated individuals who are committed to creating a world of wonder – our Visiumees.
Are you ready to join us?
Role Overview
As the Lead Machine Learning Engineer, you will manage the most technically challenging and impactful projects from their inception through architectural design to production deployment.
Your responsibilities will include:
- Guiding a technical team to ensure architectural excellence and long-term maintainability of solutions.
- Mentoring junior and senior engineers, elevating the technical standards across projects.
- Contributing high-quality code to data processing, modeling, and deployment pipelines while effectively delegating tasks.
- Collaborating with clients to translate intricate business challenges into actionable technical roadmaps, delivering measurable business results.
- Championing modern machine learning best practices and cutting-edge methodologies, covering system design, architecture, modeling, and MLOps.
Your passion for machine learning and your ability to leverage data-driven insights to create value for clients will be key to your success. You excel in dynamic environments, balancing technical execution with strategic leadership.
This role transcends model development; you will shape the technical strategy, uphold quality standards, and foster engineering talent, guiding the evolution of our machine learning delivery practices.

