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SalaryEmbark on a dynamic career with a forward-thinking tech enterprise that collaborates with industry leaders in Aerospace and Defence. Our client is on a mission to revolutionize the manufacturing sector by leveraging cutting-edge AI technology for decarbonization. If you thrive on the excitement of contributing to groundbreaking technology within a collaborative team environment, we invite you to explore further!
Join their team of innovators at the forefront of AI integration. They prioritize hiring exceptional minds in technology to craft solutions that cater to our clients' unique needs. Their Enterprise AI platform empowers businesses with AI capabilities, irrespective of their skill backgrounds.
Role Overview: Data Scientist
As a Data Scientist, you'll play a pivotal role in shaping the future of AI products and leading mission-critical projects at an early stage in your career. Your prowess in design, coding, and strategic thinking will be key in addressing complex challenges in the industrial landscape.
Responsibilities:
- Design and develop supervised and unsupervised machine learning models, including but not limited to XGBoost, KNN, etc.
- Pioneer deep learning models leveraging Neural Networks, such as Auto Encoders, Generative Adversarial Networks (GANs), Federated Learning, and more.
- Construct Explainable AI modules to effectively communicate machine learning results to end users.
- Implement optimization algorithms utilizing trained machine learning (surrogate) models.
- Create uncertainty quantification modules to highlight predictive model uncertainties.
- Implement cutting-edge AI algorithms sourced from published scientific documents.
- Produce technical articles and blogs focusing on industrial use cases.
Qualifications:
- Master's degree in data science with a background in engineering.
- Proficiency in Python programming language.
- Exceptional written and verbal communication skills.
- Basic experience/knowledge in Unix/Linux environments.
- Familiarity with containerized applications, e.g., Docker.
- Basic understanding of GPU-based highly parallel software development.
Experience:
- Minimum 1 year of industry experience.
Location:
Bristol, UK
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