Junior Machine Learning Engineer

About Us
We are an innovative technology company specialising in AI-driven solutions for real-world applications. Our projects range from natural language processing and computer vision to predictive analytics. We’re looking for a Junior Machine Learning Engineer to join our growing team and contribute to the development and deployment of cutting-edge AI models.

Role Overview
As a Junior Machine Learning Engineer, you will work closely with senior engineers and data scientists to design, implement, and optimise machine learning models. You will be involved in the full lifecycle of ML projects — from data preprocessing and model training to evaluation and deployment.

Key Responsibilities

• Assist in the design and development of machine learning models for various applications.
• Collect, clean, and preprocess large datasets.
• Implement algorithms using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Collaborate with senior team members to fine-tune models and improve performance.
• Participate in code reviews, testing, and documentation.
• Support the deployment of models into production environments.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Mathematics, or related field (or equivalent practical experience).
• Understanding of core machine learning concepts and algorithms.
• Basic proficiency in Python and libraries such as NumPy, Pandas, and Scikit-learn.
• Familiarity with deep learning frameworks like TensorFlow or PyTorch.
• Good problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.

Desirable Skills

• Exposure to cloud platforms such as AWS, GCP, or Azure.
• Experience with version control tools like Git.
• Knowledge of data visualisation tools (e.g., Matplotlib, Seaborn).

What We Offer

• Competitive salary based on experience.
• Opportunities for training, mentorship, and career progression.
• Remote and flexible working arrangements.
• The chance to work on impactful AI projects in a collaborative environment.