Research Scientist

Faculty; Greater London; On-site; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Unlimited Annual Leave Policy

Private healthcare and dental

Enhanced parental leave

Family-Friendly Flexibility & Flexible

Sanctus Coaching

Hybrid Working

Job summary

Faculty is seeking a Research Scientist to conduct original AI safety research, designing experiments and building robust tooling with Python and PyTorch. You will work alongside senior researchers to bridge theory and practice for external partners and national security institutes.

You will translate complex insights into accessible reports and contribute to safety standards while operating in a collaborative, hybrid environment that values curiosity and rigorous analysis.

Qualifications

• Solid background in machine learning fundamentals and transformer architectures (LLMs).
• Practical understanding of interpretability techniques (white-box/black-box).
• Ability to formulate hypotheses from structured technical problems.
• Clean, modular research code in Python with PyTorch; use Git for version control.

Responsibilities

• Execute technical research in AI safety by designing and running experiments to study model behavior.
• Apply interpretability and steering techniques to transformer-based LLMs.
• Develop high-quality research code and maintain tooling to accelerate discovery.
• Document findings through papers, reports and presentations.
• Collaborate with senior scientists to refine hypotheses and research scope.
• Translate complex insights for external partners and safety institutes.

Skills

Machine learning fundamentals

Transformer architectures

Python programming

Strong communication

Tools

PyTorch

Git

Job description

Why Faculty?

We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.

We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.

Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.

AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.

About the role

As a Research Scientist at Faculty, you will conduct original technical research in AI safety to build the foundation for safe, trustworthy AI deployment. Operating at the forefront of AI, you will design and execute impactful experiments, study model behavior, and develop robust, reproducible tooling. Working alongside Senior and Lead Research Scientists, you will bridge scientific discovery with practical application, helping translate complex technical insights for external partners, frontier labs, and national security institutes. This is an incredible opportunity to hone your expertise, shape emerging safety standards, and solve some of the most critical challenges in modern AI.

What you'll be doing:

• Executing technical research in AI safety by designing and running experiments to study and steer model behavior.

• Applying white-box and black-box methodologies, focusing on interpretability, steering, and behavioral studies of transformer-based LLMs.

• Developing high-quality, modular, and reproducible research code in Python using deep learning frameworks like PyTorch.

• Building and maintaining research infrastructure and technical tooling to accelerate scientific discovery.

• Documenting and communicating experimental findings through high-quality academic papers, technical reports, and presentations.

• Collaborating with senior scientists to identify literature gaps, refine hypotheses, and identify research scope.

• Translating complex technical insights for diverse audiences, including external frontier labs, government bodies, and safety institutes.

Who we're looking for:

• Solid background in machine learning fundamentals and transformer architectures (specifically LLMs).

• A practical understanding of white-box and black-box interpretability techniques, such as steering vectors or mechanistic interpretability.

• Demonstrated capability to take structured technical problems and formulate hypotheses

• Strong programming skills in Python and deep learning frameworks like PyTorch, with a track record of writing clean, modular research code, using Git for version control.

• Excellent communication, enabling you to translate complex technical concepts and experimental results into clear reports and presentations.

• Curiosity and analytical rigour, combined with exposure to core AI safety areas such as robustness, evaluations, or uncertainty calibration.

Our Recruitment Ethos

We aim to grow the best team - not the most similar one. We know that diversity of individuals foster diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.

Some of our standout benefits:

• Unlimited Annual Leave Policy

• Private healthcare and dental

• Enhanced parental leave

• Family-Friendly Flexibility & Flexible working

• Sanctus Coaching

• Hybrid Working