Data Scientist AI Machine Learning, Graduate, Internship, Student Placement Bristol, England
Job description
Are you interested in joining a deep tech company working with leading Aerospace, Defence and Automotive companies like Airbus, GKN, BAE Systems, Nissan Motors etc.?
Are you interested in being part of a young and fun-loving team environment developing cutting-edge AI technology to solve real industrial problems?
If the above questions excite you, this company could be right for you!
We are looking for an engineer passionate about problem-solving. Your design, code, and natural smartness will contribute to solving some of the most complex industrial challenges. You will be involved in shaping our AI products and lead mission-critical projects early in your career.
Key Job Responsibilities
- Develop supervised and unsupervised machine learning models, for example, XGBoost, KNN etc.
- Develop Explainable AI modules to present machine learning results to end users
- Implement multi-objective optimisation algorithms using the trained machine learning (surrogate) models
- Develop uncertainty quantification modules to highlight the uncertainty in the prediction
- Develop deep learning models using Neural Networks, e.g. Auto Encoders, Generative Adversarial Networks (GANs), Federated Learning etc.
- Implement cutting-edge AI algorithms from published scientific documents
- Write technical articles/blogs on industrial use cases.
Qualifications
- Studied Data science, Artificial Intelligence, Machine Learning etc.
- Mastery of Python programming language
- Strong written and verbal communication skills
- Basic working experience/knowledge in Unix/Linux environment
- Basic understanding of containerised applications, for example, Docker
- Basic knowledge of GPU-based highly parallel software development
Job Types: Full-time, Permanent, Graduate, Internship
Benefits:
- Casual dress
- Company events
- Company pension
- Referral programme
- Work from home
Schedule:
- Monday to Friday
Education:
- Master's (preferred)
Work Location: Hybrid remote in Bristol
