AI Research Scientist

JR United Kingdom; Chesterfield; Remote; GBP 45,000 - 65,000; Full time

Job summary

A leading AI company is seeking an AI Research Scientist to join their fully remote team. The successful candidate will help build the next generation of AI-powered insight tools by applying machine learning and LLM research to real-world challenges. Candidates should have 2-4 years of experience, strong Python skills, and a passion for transforming data into actionable insights. This role offers flexibility and the chance to work on cutting-edge technologies.

Benefits

Remote flexibility

Continuous learning opportunities

Qualifications

• 2–4 years of experience in machine learning, applied AI, or LLM research.
• Strong Python skills and experience with libraries like PyTorch, LangChain, or LlamaIndex.
• Experience designing and building ML pipelines for structured and unstructured data.

Responsibilities

• Help reimagine how data from surveys and discussions can be turned into actionable insights using AI.
• Redesign and optimize RAG pipelines and build data transformation services.
• Own testing, evaluation harnesses, prompt management, and observability for AI systems.

Skills

Machine learning

Applied AI

LLM research

Python

SQL/NoSQL

Data wrangling

Clear communication

Tools

PyTorch

LangChain

LlamaIndex

Docker

Hugging Face Transformers

Job description

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Are you an AI Research Scientist passionate about using LLMs and machine learning to reshape how organisations understand people?

We’re looking for a curious and pragmatic AI Research Scientist to join a remote team building the next generation of AI-powered insight tools. You’ll be working on a real-world research platform already in production — now expanding into new territory with retrieval-augmented generation (RAG), vector search, and intelligent automation.

In this role, you’ll help reimagine how unstructured and structured data from large-scale surveys and discussions can be turned into clear, actionable insight using advanced AI. From redesigning RAG stacks to building AI-powered report writers and secure vector stores, you’ll be solving rich, challenging problems at the intersection of NLP, data infrastructure, and human understanding.

Whether you’ve shipped AI features before or have strong personal research and projects, this is a chance to shape products used by real researchers and clients every day.

What’s in it for you?

? Human-Centred AI: Build tools that help researchers analyse real human thoughts, opinions, and behaviours — at scale.

? LLM Research Meets Real Deployment: Prototype and productionise advanced AI features like conversational survey assistants, automated Q&A, and thematic summarisation.

? RAG, Vector Search & Pipelines: Redesign and optimise RAG pipelines, create secure vector-based knowledge repositories, and build survey data transformation services.

? MLOps & Evaluation: Own testing, evaluation harnesses, prompt management, and observability for AI systems in production.

? Remote Flexibility: Work fully remotely with a team that values impact, collaboration, and continuous learning.

What We’re Looking For:

• 2–4 years of experience in machine learning, applied AI, or LLM research
• Strong Python skills and experience with libraries like PyTorch, LangChain, or LlamaIndex
• Experience designing and building ML pipelines for structured and unstructured data
• Familiarity with SQL/NoSQL and data wrangling
• Curiosity about large language models and enthusiasm for solving real-world product challenges
• Clear communication and ability to thrive in a distributed team

Nice to Have:

• Experience with vector databases (e.g., FAISS, Weaviate, pgvector)
• Knowledge of survey data structures or market research workflows
• Familiarity with statistics (e.g., weighting, significance testing)
• Experience with Docker, Hugging Face Transformers, or cloud-based deployment
• Awareness of data privacy standards in a European context

If you're excited to apply state-of-the-art AI to unlock meaning from messy human data — and want your research to be used by people who ask important questions — we’d love to hear from you.

Apply now and help build the future of insight-driven AI.