AI Research Scientist Jobs

Experts who push the boundaries of AI through cutting-edge research and experimentation. A role at the heart of technological innovation.

Open roles
16
Salary range
£68k – £260k
Hiring companies
8

AI Research Scientists are the driving force behind the development of new AI technologies. They work on fundamental research, developing algorithms and models that can solve complex problems. These roles are typically found in universities, research institutions, and tech companies with a strong focus on AI, such as scaleups and the larger consultancies. The work is highly collaborative, often involving interdisciplinary teams and cutting-edge computational resources.

What the role does

Inside the role of an AI Research Scientist

A typical week is a mix of theoretical research, experimentation, and collaboration with other experts.

  1. 01
    Conduct literature reviews to stay updated on the latest research.
  2. 02
    Design and implement experiments to test new algorithms.
  3. 03
    Collaborate with cross-functional teams to integrate findings.
  4. 04
    Write and publish research papers or technical reports.
  5. 05
    Attend conferences and workshops to share and learn from the community.
Salary on the board

£68k – £260k

Based on advertised midpoints across the 5 UK listings priced in pounds in the last 12 months. Base salary only.

Salary visibility
8% of listings advertise a salary — up from 0% the year before.
Skills & tools

What hiring managers ask for

% of 18 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

Machine Learning
89%
PyTorch
67%
Python
61%
Deep Learning
44%
Computer Vision
33%
TensorFlow
28%
JAX
28%
Generative Models
28%
Reinforcement Learning
22%
3D Computer Graphics
22%
Neural Rendering
22%
3D Reconstruction
22%
Career ladder

From Junior to Principal

A typical UK progression for ai research scientists. Years are guidance — strong people move faster, and many senior folks sidestep into research, product or management.

  1. Level 1

    Junior Research Scientist

    0–2 yrs

    Assist in research projects, perform data analysis, and contribute to experimental design.

  2. Level 2

    Research Scientist

    2–5 yrs

    Lead specific research projects, develop new algorithms, and mentor junior team members.

  3. Level 3

    Senior Research Scientist

    5–10 yrs

    Oversee multiple research initiatives, publish significant findings, and influence the direction of the field.

  4. Level 4

    Principal Research Scientist

    10+ yrs

    Drive strategic research initiatives, collaborate with leading institutions, and shape the future of AI.

Pathway

How to become a AI Research Scientist

There's no single route, but most people follow some version of these steps.

  1. 1

    Academic Foundation

    Complete a PhD in AI, machine learning, or a related field to build a strong theoretical foundation.

  2. 2

    Early Research Experience

    Gain practical experience through internships or postdoctoral positions in research labs or tech companies.

  3. 3

    Publishing and Networking

    Publish research papers in top-tier journals and conferences, and build a network of collaborators.

  4. 4

    Leading Projects

    Take on leadership roles in research projects, managing teams and budgets.

  5. 5

    Strategic Influence

    Influence the strategic direction of research programs and contribute to the broader AI community.

Live jobs

16 live roles

See all 16 roles →

Research Scientist

This role involves conducting original research in AI safety, focusing on interpretability and behavioral analysis of transformer-based large language models. You'll design and run experiments, develop reproducible research tooling in Python with PyTorch, and translate technical findings for government, frontier labs, and national security partners. The position emphasizes scientific rigor, collaboration with senior researchers, and contributing to emerging AI safety standards.

Faculty London, United Kingdom
Permanent
Isomorphic Labs logo

Research Scientist (Applied LLMs), London

A Research Scientist will focus on applying Large Language Models to drug discovery challenges, developing novel ML techniques and models that integrate with biological and chemical data. The role involves close collaboration with interdisciplinary teams of scientists and engineers to advance AI-driven drug design. Work includes model development, experimentation, and scaling frameworks for predictive applications in a fast-paced research environment.

Isomorphic Labs London, United Kingdom
Hybrid Permanent
Isomorphic Labs logo

Research Scientist (Machine Learning), London

A Research Scientist in machine learning will develop novel deep learning models and algorithms to accelerate drug discovery, working in an interdisciplinary team of scientists and engineers. The role involves designing architectures, training models, and applying ML to complex biological and chemical problems, with opportunities to lead projects and mentor others depending on experience.

Isomorphic Labs London, United Kingdom
Hybrid Permanent
PhysicsX logo

Research Scientist - Large Geometry Models

This role involves owning a research work-stream focused on 3D geometry representation and generation, designing and training generative models, and working with ML and simulation engineers to solve complex engineering challenges. You will also champion research directions and mentor junior colleagues.

PhysicsX London, United Kingdom
NVIDIA logo

Research Scientist, AI RL and LLMs

This role involves conducting cutting-edge research in reinforcement learning and large language models to advance intelligent systems. You'll co-develop models that enhance memory, task horizon, and general intelligence in vision-language models, with a strong emphasis on open-sourcing code and publishing high-impact research. The position is embedded in NVIDIA's AI research team in Zurich, focusing on long-term breakthroughs in AI.

NVIDIA Switzerland
NVIDIA logo

Research Scientist, AI RL and LLMs

Conduct cutting-edge research in reinforcement learning and large language models to advance general intelligence in AI systems. Collaborate on developing models with enhanced memory and task capabilities, publish high-impact work, and contribute open-source code to ensure reproducibility. Work within a leading AI research team focused on long-term breakthroughs in intelligent machines.

NVIDIA
Faculty AI logo

Principal Research Scientist - AI Safety

Lead and shape the scientific research agenda for AI safety, focusing on large language models and safety-critical systems. Conduct high-impact research, publish in top-tier venues, and guide red-teaming and evaluation efforts in high-risk domains such as cybersecurity and CBRN. Mentor researchers and position the organisation as a thought leader in responsible AI development.

Faculty AI London, United Kingdom
Hybrid Permanent Clearance Required
Faculty AI logo

Senior Research Scientist - AI Safety

This role involves leading high-impact AI safety research, focusing on red teaming and evaluations for frontier models in high-risk domains such as cybersecurity and national security. The scientist will drive technical research from concept to publication, shape safety strategies, and support real-world deployment of responsible AI systems through collaboration with government and commercial partners.

Faculty AI London, United Kingdom
Hybrid Permanent Clearance Required
Hiring locations

Where this role is hiring

The locations with the most live listings for this role today.

FAQs

Common questions

  • A PhD in AI, machine learning, or a related field is typically required, along with a strong publication record.

  • Key skills include strong mathematical and programming abilities, a deep understanding of AI algorithms, and the ability to conduct independent research.

  • AI Research Scientists often work in academic settings, research institutions, or tech companies, collaborating with interdisciplinary teams and using advanced computational resources.

  • Salary ranges can vary widely based on experience and location. For more detailed information, see the salary section on this page.

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