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

Enigma; Remote; GBP 52,000 - 79,000; Full time

Job summary

A leading AI technology firm is looking for a Machine Learning Engineer to work remotely across Europe. The role involves collaborating with engineers to enhance AI systems, evaluating RAG systems, and designing experiments to improve performance. Ideal candidates hold a Master's or PhD in a relevant field and possess extensive knowledge of machine learning, deep learning, and natural language processing. This position requires the right to work in your country of residence and offers dynamic challenges in a fast-paced environment.

Qualifications

• Strong knowledge of machine learning, deep learning, and natural language processing.
• Hands-on experience training, fine-tuning, and deploying LLMs.
• Experience building evaluation systems for search or language models.

Responsibilities

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

Skills

Machine learning

Deep learning

Natural language processing

Python

Pytorch

Education

Master's or PhD in Computer Science

Machine Learning

Mathematics or Statistics

Tools

Vector databases

Search indices

Data stores for retrieval

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.