Senior Data Scientist - AI for Robotics & Infrastructure

Robotiz3d

Liverpool

On-site

GBP 48,000 - 80,000

Full time

14 days+
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Job summary

Robotiz3d is seeking a Senior Data Scientist to scale our AI and data platform, turning complex infrastructure data into scalable, actionable insights. You will collaborate with AI engineers, software teams, robotics specialists, and leadership to drive end-to-end ML solutions for road infrastructure inspection and maintenance.

The role focuses on deploying models, improving data quality, and advancing MLOps in a fast-paced startup.

Qualifications

  • MS or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Computer Engineering, or related field.
  • 5+ years of industry experience in data science, machine learning, or AI-driven analytics.

Responsibilities

  • Develop and deploy machine learning and statistical models for infrastructure inspection, anomaly detection, predictive maintenance, and operational optimization.
  • Analyze large-scale multimodal datasets from sensors, imaging systems, edge devices, and cloud platforms.
  • Improve data quality, labeling strategies, and model performance through experimentation and continuous learning.
  • Support MLOps initiatives including model optimization, monitoring, validation, retraining, and deployment automation.
  • Collaborate with AI and software engineering teams to productionize models into cloud and edge environments.
  • Help define the long-term data and AI strategy for Robotiz3d’s intelligent infrastructure platform.

Skills

Python
Machine learning
PyTorch
TensorFlow
Scikit-learn
Computer Vision
Azure
AWS
GCP
MLOps
Data pipelines

Education

MS/PhD in Data Science

Tools

Azure
AWS
GCP
NVIDIA Jetson

Job description

Robotiz3d is seeking a Senior Data Scientist to scale our AI and data platform, turning complex infrastructure data into scalable, actionable insights. You will collaborate with AI engineers, software teams, robotics specialists, and leadership to drive end-to-end ML solutions for road infrastructure inspection and maintenance.

The role focuses on deploying models, improving data quality, and advancing MLOps in a fast-paced startup.

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