Aspiring AI Engineer: ML, LLMs & Cloud in Enterprise

Jobtailor

Greater London

On-site

GBP 18,000 - 28,000

Part time

3 days ago
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Job summary

Jobtailor is seeking a motivated Master’s student to support AI/ML model development and LLM integrations in an enterprise environment. The role involves data collection, preprocessing and collaboration across engineering, product and data teams.

You will assist with model training and evaluation, participate in testing and debugging of AI-enabled solutions, and contribute to data pipelines, prompts and agent workflows. Excellent communication and learning agility are essential.

Qualifications

  • Master’s student in Computer Science, Machine Learning, Data Science or related field.
  • Strong Python fundamentals and data processing knowledge.
  • Understanding of ML concepts: training, evaluation, feature engineering.
  • Experience with AI systems such as LLM APIs, prompt-based interactions, or NLP.
  • Familiarity with responsible AI, security, governance, and reliability considerations.
  • Excellent communication and collaborative abilities.

Responsibilities

  • Support development and integration of AI/ML models and LLMs into production-like systems.
  • Assist with data collection, preprocessing, transformation, and management for model training and evaluation.
  • Participate in testing, debugging, and improving AI-enabled solutions for performance and reliability.
  • Contribute to training workflows, inference endpoints, data pipelines, and AI agents.
  • Collaborate with engineering, product, data, risk, security, and business partners.
  • Document model parameters, data pipelines and technical decisions.
  • Engage in Agile practices and team ceremonies.
  • Help ensure AI systems align with reliability, safety, governance and compliance.

Job description

Jobtailor is seeking a motivated Master’s student to support AI/ML model development and LLM integrations in an enterprise environment. The role involves data collection, preprocessing and collaboration across engineering, product and data teams.

You will assist with model training and evaluation, participate in testing and debugging of AI-enabled solutions, and contribute to data pipelines, prompts and agent workflows. Excellent communication and learning agility are essential.

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