Junior ML Engineer — EdTech AI & NLP (Hybrid)

Cierti

St Albans

Hybrid

GBP 50,000 - 60,000

Full time

6 days ago
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Job summary

Cierti in London is seeking a Junior Machine Learning Engineer to help build next-generation learning models that predict student knowledge and tailor activities for personalised education. This hybrid role combines data-driven development with a passion for scalable ML solutions in an EdTech setting.

You will work with vast data from language tests, including text and voice data, and contribute to NLP-powered tools and assessments.

Qualifications

  • Bachelor's degree in CS/DS/ML or related field.
  • Strong Python programming skills.
  • Understanding of ML algorithms and evaluation metrics.
  • Familiarity with NLP concepts and transformer architectures.

Responsibilities

  • As part of a growing ML team, work on real-world challenges with a large, diverse dataset.
  • Build predictive ML models to improve learning outcomes.
  • Work with data from language tests, including text and voice data.
  • Develop and refine NLP-driven educational tools and assessment methods.
  • Analyse large-scale datasets to uncover insights and improve model performance.
  • Fine-tune ML models for scalability, accuracy, and efficiency.
  • Collaborate with software engineers and product specialists in a cross-functional environment.
  • Contribute to creating innovative learning technologies applicable across languages and topics.

Skills

Python
Machine Learning
NLP
Neural Networks
Transformer architectures
Data analysis

Education

Bachelor's degree in Computer Science, Data Science or related

Tools

Pandas
NumPy

Job description

Cierti in London is seeking a Junior Machine Learning Engineer to help build next-generation learning models that predict student knowledge and tailor activities for personalised education. This hybrid role combines data-driven development with a passion for scalable ML solutions in an EdTech setting.

You will work with vast data from language tests, including text and voice data, and contribute to NLP-powered tools and assessments.

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