Senior Data Scientist

Robotiz3d

Liverpool, UK

11 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Compensation

£80,000.0

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

Artificial Intelligence Amazon Web Services Computer Vision Microsoft Azure Cloud Computing Cloud Engineering Computer Programming Computer Engineering Imaging Technology Python (Programming Language) Machine Learning Object Detection

+10 more

Software Architecture Tensorflow Smart Devices Software Engineering Pytorch Large Language Models Scikit Learn Information Technology Deployment Automation Data Pipelines

Job description

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.

Requirements

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.
Strong programming skills in Python and experience with modern ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
Computer Vision Expertise with working experience in object detection, image segmentation, and handling noisy, real-world visual data.
Experience building scalable data pipelines and working with Azure cloud platforms (or AWS/GCP).
Strong understanding of statistical modeling, predictive analytics, and experimentation methodologies.
Strong communication and collaboration skills in multidisciplinary engineering environments
Self-driven mindset with the ability to operate effectively in a fast-paced startup environment, * Experience with edge AI or NVIDIA Jetson platforms.
Experience with robotics, autonomous systems, or industrial automation.
Experience with cloud-native software architecture and full-stack development.
Experience with LLMs, agentic AI systems, or AI-assisted decision platforms.

Benefits & conditions

Help build cutting-edge AI systems with real-world impact on public infrastructure and transportation safety.
Work on challenging multidisciplinary problems spanning robotics, AI, sensing, cloud platforms, and edge computing.
Join a fast-moving and highly collaborative engineering team.
Opportunity to shape core technology and influence product direction as the company scales
Competitive compensation, optional equity participation, and career growth opportunities.