Multiverse

Applied AI Engineer

Multiverse

full-time

Posted on:

Origin:  • 🇬🇧 United Kingdom

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Job Level

Mid-LevelSenior

Tech Stack

AWSCloudMicroservicesPythonPyTorchScikit-LearnTensorflowTypeScript

About the role

  • Multiverse is the upskilling platform for AI and Tech adoption partnering with 1,500+ companies and 800+ employees
  • Transform cutting-edge AI research into real-world products to personalise learning and improve outcomes
  • Design, fine-tune, and integrate LLM-powered solutions for content generation, semantic search, summarisation, and personalised learning
  • Develop, fine-tune, and embed machine learning models into production systems using tools like Cursor and Gemini
  • Own end-to-end lifecycle from raw data through experimentation, deployment, and iteration
  • Build MLOps pipelines and AWS cloud infrastructure for training, deployment, and monitoring
  • Measure performance, accuracy, and adoption of AI features and enable colleagues to apply AI across teams

Requirements

  • Built and deployed machine learning models using frameworks like PyTorch, TensorFlow, or scikit-learn
  • Experience working with large language models (e.g., GPT, Claude, Gemini Pro) including prompt engineering, evaluation, safety and inclusivity
  • Proficient in Python and TypeScript; experience building APIs, microservices, and cloud-native applications
  • Familiarity with AI tooling platforms such as Cursor and Gemini
  • Practical experience deploying AI solutions on AWS, including CI/CD for models, version control, observability, and retraining pipelines
  • Skilled at working with structured and unstructured data, preprocessing and feature engineering
  • Ability to translate AI capabilities into intuitive product experiences
  • Collaborative, cross-functional team experience and a growth mindset