AI Research Scientist

JR United Kingdom; Bedford; Remote; GBP 60,000 - 80,000; Full time

Job summary

A leading tech firm in the UK seeks an AI Research Scientist to enhance AI-powered insight tools. The role involves transforming data into actionable insights using advanced AI methods and leading research initiatives. Ideal candidates will have strong ML experience, particularly with Python and related libraries. This position offers remote work flexibility in a collaborative environment with a focus on innovative technology.

Benefits

Remote work flexibility

Opportunity to work on real-world applications of AI

Collaborative team environment

Qualifications

• 2–4 years of experience in machine learning, applied AI, or LLM research.
• Experience designing and building ML pipelines for structured and unstructured data.
• Curiosity about large language models and enthusiasm for solving real-world product challenges.

Responsibilities

• Help reimagine how unstructured data can be turned into actionable insight using AI.
• Prototype and productionise advanced AI features like conversational survey assistants.
• Own testing, evaluation harnesses, and observability for AI systems.

Skills

Machine learning

Strong Python

Experience with PyTorch

Data wrangling

Tools

Docker

FAISS

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.