Artificial Intelligence & Machine Learning Internship Fastek Limited

Fastk; Birmingham; On-site; GBP 20,000 - 30,000; Full time

Job summary

A tech company in Birmingham is seeking an AI & Machine Learning Intern to assist with building AI solutions using data-driven technologies. In this role, you will work alongside data scientists and engineers to explore machine learning models and natural language processing applications. Responsibilities include cleaning datasets, supporting model testing, and collaborating on AI feature integration. Ideal for those pursuing a degree in a related field with knowledge of Python and machine learning frameworks.

Qualifications

• Currently pursuing a degree in a related field.
• Basic understanding of machine learning and data analysis concepts.
• Familiarity with programming using Python.

Responsibilities

• Assist in cleaning and preparing datasets for ML projects.
• Support building and testing machine learning models.
• Collaborate with developers to integrate AI features into products.

Skills

Data cleaning

Machine learning model support

Research algorithms

Collaboration with developers

Data visualization

Knowledge of Python libraries

NLP understanding

Education

Currently enrolled in a degree program related to IT, AI, or Data Science

Tools

TensorFlow

Scikit-learn

PyTorch

Job description

Overview

Join us as an AI & Machine Learning Intern and gain exposure to building smart solutions using data-driven technologies. You will work with data scientists and engineers to explore machine learning models, natural language processing, and AI applications in real-world IT projects.

Roles & Responsibilities

• Assist in cleaning and preparing datasets for ML projects.
• Support building and testing machine learning models.
• Research and implement algorithms for data analysis.
• Collaborate with developers to integrate AI features into products.
• Help document model performance and outcomes.
• Explore NLP, computer vision, and predictive analytics use cases.
• Learn Python libraries such as TensorFlow, Scikit-learn, and PyTorch.
• Assist with data visualization and reporting dashboards.
• Support model training, tuning, and validation.
• Contribute to automation of data workflows.
• Research emerging AI tools and applications.
• Help prepare presentations for AI solutions.
• Collaborate with analysts to provide AI-driven insights.
• Shadow AI engineers during real-world deployments.
• Assist in ethical AI practices and compliance considerations.
• Participate in brainstorming sessions for innovative use cases.