About Ronnach
Ronnach Technologies is a deep‑tech engineering company developing advanced sensing systems, real‑time monitoring platforms, and AI‑driven analytical tools for industrial and scientific environments.
We combine machine learning, signal processing, and experimental engineering to build robust, intelligent systems that interact with the physical world.
What You’ll Do
You will work with real‑world sensor data — time series, spectral signals, and other physical measurements — to design, develop, and optimize ML models for prediction, anomaly detection, and system intelligence.
Your responsibilities will include:
* Designing and training ML models for real‑time and offline processing
* Preprocessing and analysing sensor signals (spectral, flow, physical measurements)
* Building data pipelines for experimentation and deployment
* Conducting experiments and validating models in lab + real environments
* Collaborating closely with hardware, firmware, and engineering teams
* Producing clear and rigorous documentation of methods and results
Depending on Your Experience
Junior ML Engineer (0–2 years)
* Implement ML models and run experiments
* Prepare and structure sensor datasets
* Support prototype testing and data collection
* Document results and contribute to R&D cycles
* Grow toward autonomy through mentorship
Mid‑Level ML Engineer (2–4 years)
* Lead the design of ML pipelines and modelling approaches
* Apply advanced time‑series, signal‑processing, or data‑fusion techniques
* Improve model robustness in real‑world environments
* Drive integration across ML, firmware, and hardware
* Mentor junior contributors when needed
What You Bring
Required
* Degree in Engineering, Physics, Computer Science, Mathematics or similar
* Strong Python skills (NumPy, pandas, scikit‑learn)
* Experience with ML model development (classification, regression, pattern recognition)
* Good understanding of statistics, algorithms, and data structures
* Ability to work in a multidisciplinary engineering environment
Nice to Have
* Experience with PyTorch or TensorFlow
* Background in signal processing or spectral data
* Exposure to embedded, IoT, or edge data environments
What We Offer
* Work at the intersection of ML, sensing, and engineering
* Real ownership of deep‑tech products and applied ML systems
* Growth opportunities across multiple R&D projects
* A strong engineering culture and competitive compensation
Location & Details
* Location: Greater Vigo (O Porriño)
* Contract type: Permanent
* Work policy: Hybrid
How to Apply
Send your CV or LinkedIn profile to
Subject: ML Engineer – Ronnach