Machine Learning Engineer for Large Language Models and Natural Language Processing

Enigma United Kingdom
Remote
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AI Summary

We are seeking a Machine Learning Engineer to work on advancing our AI assistant's ability to answer complex technical questions. The ideal candidate will have a strong background in machine learning, deep learning, and natural language processing, with experience in training, fine-tuning, and deploying large language models.

Key Highlights
Evaluating a retrieval-augmented-generation (RAG) system in production without labelled data
Designing own benchmarks from scratch
Building an agentic retrieval pipeline that adapts between fast and more thorough query strategies
Technical Skills Required
Python PyTorch Natural Language Processing Large Language Models Vector databases Search indices Data stores
Benefits & Perks
Remote work in Europe
Opportunity to work on real-world developer documentation

Job Description


Machine Learning Engineer | Python | Pytorch | Natural Language Processing | LLM | Large Language Models | Remote, Europe


About Us

We build AI assistants that make technical knowledge instantly accessible. As a research engineer, you will work on advancing our system’s ability to answer increasingly complex technical questions. Our technology is already deployed on real-world developer documentation, where users can query information directly through an integrated AI assistant.


The Challenges You’ll Work On

  • Evaluating a retrieval-augmented-generation (RAG) system in production without labelled data
  • Designing your own benchmarks from scratch
  • Building an agentic retrieval pipeline that adapts between fast and more thorough query strategies
  • Fine-tuning embeddings or reranking models


What You’ll Do

  • Collaborate closely with the core team and software engineers
  • Stay up-to-date with the latest research and apply new ideas to real product challenges
  • Design, run and analyse experiments to push system performance


You Might Be a Great Fit If You Have

  • A Master's or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or a related field
  • Strong knowledge of machine learning, deep learning (including LLMs), and natural language processing
  • Hands-on experience training, fine-tuning, and deploying LLMs
  • Experience working with vector databases, search indices, or data stores for retrieval use cases
  • Significant experience building evaluation systems for search or language models
  • Familiarity with information retrieval techniques (e.g., lexical search, dense vector search)
  • Comfort working in a fast-moving environment with ambiguous problem spaces
  • A desire to learn more about ML research


Please note that this position is fully remote in Europe but you MUST have the right to work in your country of residence.


Machine Learning Engineer | Python | Pytorch | Natural Language Processing | LLM | Large Language Models | Remote, Europe


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