Intellium AI Ltd

Intellium AI Ltd in Bristol is seeking a Data Scientist to work on cutting-edge Generative AI technology within the Aerospace and Defence sector. You will develop innovative machine learning models and applications while contributing to key projects early in your career. This role requires strong skills in Python and a Master's in Data Science. The environment is collaborative, enabling you to shape AI products and solve complex challenges. Ideal for someone passionate about advancing AI in commercial applications.

Are you interested in starting your career with a deep tech company that works with the Aerospace and Defence sector? Are you interested in developing Generative AI technology for knowledge automation? Do you enjoy working on cutting edge, scalable technology in a team environment? If the above questions excite you, then please continue reading! At Intellium AI, we hire the best minds in technology to innovate and build solutions that our customers desperately want to adopt AI successfully within their businesses. We have built an Enterprise AI platform to give our customers the power of AI irrespective of their skill background. As a Data Scientist, you can shape our AI products and lead mission critical projects early in your career. Your design, code, and raw smartness will contribute to solving some of the most complex industrial challenges. Key Job Responsibilities Develop supervised and unsupervised machine learning models, such as XGBoost, KNN, etc. Develop Generative AI applications using open and closed source LLMs. Develop Explainable AI modules to present machine learning results to end users. Implement optimisation algorithms using the trained machine learning (surrogate) models. Develop uncertainty quantification modules to highlight the uncertainty in model predictions. Implement cutting edge AI algorithms from published scientific documents. Write technical articles/blogs on industrial use cases. Qualifications Master's in data science with a background in Engineering. Mastery of Python programming language. Strong written and verbal communication skills. Basic working experience/knowledge in Linux environment. Basic knowledge of containerised applications, for example, Docker. Basic knowledge of GPU based highly parallel software development. Experience Minimum 1 yr industry experience in applying AI in a commercial environment.

A leading deep tech company in the UK seeks a passionate individual to develop machine learning models and generative AI applications. You will work on innovative solutions for the Aerospace and Defence sector, utilizing your data science skills. Responsibilities include developing Explainable AI modules and applying optimisation algorithms. A Master's in data science and proficiency in Python are essential. Join a team at the forefront of technology in a collaborative environment.

Are you interested in starting your career with a deep tech company that works with the Aerospace and Defence sector? Are you interested in developing Generative AI technology for knowledge automation? Do you enjoy working on cutting-edge, scalable technology in a team environment? If the above questions excite you, then please continue reading! At Intellium AI, we hire the best minds in technology to innovate and build solutions that our customers desperately want to adopt AI successfully within their businesses. We have built an Enterprise AI platform to give our customers the power of AI irrespective of their skill background. Key Job Responsibilities Develop supervised and unsupervised machine learning models, such as XGBoost, KNN, etc. Develop Generative AI applications using open and closed source LLMs. Develop Explainable AI modules to present machine learning results to end users Implement optimisation algorithms using the trained machine learning (surrogate) models Develop uncertainty quantification modules to highlight the uncertainty in model predictions Implement cutting-edge AI algorithms from published scientific documents Write technical articles/blogs on industrial use cases. Qualifications Master's in data science with a background in Engineering Mastery of Python programming language Strong written and verbal communication skills Basic working experience/knowledge in Linux environment Basic knowledge of containerised applications, for example, Docker Basic knowledge of GPU-based highly parallel software development