Senior ML Engineer – Scientific & Engineering Data
Keysight Technologies · Barcelona, Spain · R&D
About this role
Keysight Technologies is hiring a senior-level Data Engineer based in Barcelona, Spain. The posting calls out experience with Python, MLflow, MLOps, Feature Engineering and roughly 5+ years of relevant work. Listed education preference: a master's degree or equivalent.
- Role
- Data Engineer
- Function
- data engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Barcelona, Spain
- Experience
- 5+ years
- Education
- Master's degree
- Department
- R&D
- Posted
- Jan 16, 2026
More roles at Keysight Technologies
Job description
from Keysight Technologies careersKeysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
About the Team
At Keysight, we build advanced software and AI systems that power engineering innovation across electronics, communications, automotive, energy, aerospace, and semiconductors.
This role sits within Keysight’s Applied AI & Autonomy initiative, a multidisciplinary R&D effort developing intelligent, agent-based systems that learn from real-world engineering data, simulations, and measurements. The team combines machine learning, data engineering, and scientific modeling to create adaptive, explainable AI for complex engineering workflows.
About the Role
As a Senior Machine Learning Engineer, you will design and develop machine-learning models and data systems that learn from engineering data and continuously improve through feedback from simulations and measurements.