Machine Learning Engineer | Python | Pytorch | Natural Language Processing | LLM | Large Langua[...]

Enigma; United Kingdom; Remote; GBP 61,457 - 87,796; Full time

Job summary

A leading AI research company is seeking a Machine Learning Engineer to advance their AI assistants. This fully remote role requires expertise in machine learning and natural language processing, ideally with hands-on experience in training LLMs. The ideal candidate will possess a Master’s or PhD in a relevant field and be eager to solve complex technical challenges. Responsibilities include collaborating with teams and analyzing experiments to enhance system performance.

Qualifications

• 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.

Responsibilities

• Collaborate closely with the core team and software engineers.
• Design, run, and analyse experiments to push system performance.

Skills

Machine learning

Deep learning

Natural language processing

Information retrieval

Experiment design and analysis

Education

Master's or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or related field

Tools

Python

Pytorch

Job description

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

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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.