TWG Global

AI/ML Scientist Intern

TWG Global

internship

Posted on:

Origin:  • 🇬🇧 United Kingdom

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Salary

💰 £0 per hour

Job Level

Entry Level

Tech Stack

CloudNumpyPandasPythonPyTorchScikit-LearnTensorflow

About the role

  • Assist in the development and testing of AI/ML models, including deep learning (RNN, CNN, embeddings, transformer/LLM), time series forecasting, reinforcement learning, optimization, and conversational AI.
  • Develop robust, well-structured, and testable code to enable a seamless deployment into production by the Engineering team.
  • Support the Foundation Model and Agents Task Forces by contributing to research, data preparation, and model evaluation.
  • Participate in maintaining documentation and inventory of AI/ML projects, ensuring adherence to governance and quality standards.
  • Collaborate with team members and stakeholders to understand business requirements and translate them into technical tasks.
  • Stay informed about emerging AI technologies and best practices, sharing insights with the team.
  • Contribute to the measurement and reporting of project performance metrics.

Requirements

  • Currently enrolled in a master’s program in Computer Science, Engineering, Data Science, or a related field.
  • Coursework or project experience in AI/ML, including exposure to at least one of the following areas: machine learning and deep learning, time series forecasting, reinforcement learning, optimization, or conversational AI.
  • Familiarity with Python or similar programming languages and common toolkits and AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, NumPy).
  • Strong analytical and problem-solving skills.
  • Ability to design machine learning experiments and define model performance metrics that ensure AI outputs are aligned with business goals.
  • Ability to work collaboratively in a team environment.