At a Glance
- Tasks: Develop and deploy machine learning models for smart infrastructure solutions.
- Company: Join Robotiz3d, a fast-growing startup revolutionising road maintenance with AI.
- Benefits: Competitive salary, equity options, and exciting career growth opportunities.
- Other info: Collaborative environment tackling challenging problems in robotics and AI.
- Why this job: Make a real-world impact on public infrastructure and transportation safety.
- Qualifications: MS/PhD in relevant fields and 5+ years of data science experience required.
The predicted salary is between 80000 - 80000 £ per year.
Salary - up to £80,000/year based on experience.
About Robotiz3d
Robotiz3d is a fast-growing startup building next-generation AI-driven robotics and Saa S platforms for automated road infrastructure inspection, analysis, and maintenance.
Our systems combine advanced sensing, robotics, edge computing, cloud-native platforms, analytics, and artificial intelligence to help infrastructure operators make faster, smarter, and more proactive decisions for road maintenance.
- What You’ll Be Doing
- 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.
- What We’re Looking For
- MS or Ph D 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 Py Torch, Tensor Flow, 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
- Nice to Have
- 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.
Why Join Robotiz3d?
- 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.
- #J-18808-Ljbffr
Senior Data Scientist in Liverpool employer: Robotiz3d
At Robotiz3d, we pride ourselves on being a dynamic startup that fosters innovation and collaboration in the field of AI-driven robotics. Our team enjoys a vibrant work culture where creativity thrives, and employees are empowered to shape the future of infrastructure technology. With competitive compensation, equity participation options, and ample opportunities for professional growth, joining us means contributing to impactful projects while advancing your career in a supportive environment.
