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Research Analyst jobs in United Kingdom

Senior Research Scientist - AI Safety

Methodfi

City of London
Hybrid
GBP 80,000 - 100,000
30 days ago
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Senior AI Safety Researcher — Hybrid, Global Impact

Methodfi

City of London
Hybrid
GBP 80,000 - 100,000
30 days ago

AI Trainer & Data Scientist (Python + SQL) — Remote

Mindrift

United Kingdom
Remote
GBP 60,000 - 80,000
30+ days ago

Lead Scientist - Cell Expression

Lonza

Cambridge
On-site
GBP 60,000 - 80,000
30+ days ago

Employee Benefits Consultant

The Ardonagh Group

United Kingdom
On-site
GBP 60,000 - 80,000
30+ days ago
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Senior Scientist, PCR Diagnostics: Lead Innovation

Yourgene Health plc

Manchester
On-site
GBP 50,000 - 70,000
30+ days ago

Senior Scientist (PCR team)

Yourgene Health plc

Manchester
On-site
GBP 50,000 - 70,000
30+ days ago

Principal Responsible AI Research Scientist : London, UK

Autodesk, Inc.

City of London
On-site
GBP 125,000 - 150,000
30+ days ago
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Principal Islet Differentiation Scientist – GMP-Scale

Sana Biotechnology Inc

Cambridge
On-site
GBP 79,000 - 111,000
30+ days ago

Scientist / Principal Research Associate, Beta Islet

Sana Biotechnology Inc

Cambridge
On-site
GBP 79,000 - 111,000
30+ days ago

Research Associate in Numerical Modelling of Conduit Flow

Manchester University

Manchester
Hybrid
GBP 30,000 - 35,000
30+ days ago

Senior Scientist, Flow Cytometry & Islet Characterization

Sana Biotechnology Inc

Cambridge
On-site
GBP 113,000 - 133,000
30+ days ago

Scientist, Beta Islet - Flow Cytometry

Sana Biotechnology Inc

Cambridge
On-site
GBP 113,000 - 133,000
30+ days ago

Principal Responsible AI Research Scientist : London, UK

Merantix Aicampus

City of London
On-site
GBP 125,000 - 150,000
30+ days ago

Senior Machine Learning Scientist (Generative AI) - Viator

Viator

City of London
Hybrid
GBP 70,000 - 90,000
30+ days ago

Research Data Scientist for Pregnancy Studies

Cambridge

Cambridge
On-site
GBP 37,000 - 47,000
30+ days ago

Research Associate (Data Science) (Fixed Term)

Cambridge

Cambridge
On-site
GBP 37,000 - 47,000
30+ days ago

Part-Time Mind-Body Research Scientist (Community Mindfulness)

Cambridge Health Alliance

Cambridge
On-site
GBP 100,000 - 125,000
30+ days ago

Research Scientist, Community Mind-Body

Cambridge Health Alliance

Cambridge
On-site
GBP 100,000 - 125,000
30+ days ago

Theoretical HEP Researcher - Precision LHC Phenomenology

Cambridge

Cambridge
On-site
GBP 33,000 - 47,000
30+ days ago

Educational Psychologist

Lewisham Strategic Partnership

City of London
Hybrid
GBP 51,000 - 62,000
30+ days ago

Educational Psychologist - Virtual School Trainer

Lewisham Strategic Partnership

City of London
Hybrid
GBP 51,000 - 62,000
30+ days ago

Scientific Director

OPEN Health Group

United Kingdom
On-site
GBP 80,000 - 100,000
30+ days ago

Marketing Scientist: MMM & Brand Measurement Strategist

Cannocksnap

City of London
On-site
GBP 50,000 - 70,000
30+ days ago

Marketing Scientist (MMM/Brand Measurement)

Cannocksnap

City of London
On-site
GBP 50,000 - 70,000
30+ days ago

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Senior Research Scientist - AI Safety
Methodfi
City of London
Hybrid
GBP 80,000 - 100,000
Full time
30 days ago

Job summary

A pioneering AI research firm in the UK is seeking a Senior Research Scientist to lead impactful AI safety research. This role involves shaping the research agenda and conducting evaluations in high-risk domains like cybersecurity. The ideal candidate has a strong background in AI research, deep knowledge of generative models, and practical experience with deep learning frameworks. The company offers hybrid working and a supportive environment for diverse candidates.

Benefits

Unlimited Annual Leave Policy
Private healthcare and dental
Enhanced parental leave
Family-Friendly Flexibility
Hybrid Working

Qualifications

  • Track record of publications in high-impact AI research.
  • Experience or passion for AI safety from labs or academia.
  • Deep knowledge of language models and generative AI architectures.
  • Practical machine learning experience focusing on robustness or explainability.
  • Ability to conduct and oversee complex technical research.

Responsibilities

  • Lead high-impact AI research themes in AI safety.
  • Contribute to Faculty's AI safety research agenda.
  • Shape the research agenda by identifying impactful opportunities.
  • Support delivery of evaluations in high-risk domains.

Skills

Research Expertise
Applied AI Safety
Deep Learning Frameworks
Python Engineering
Machine Learning Experience

Education

PhD or equivalent experience

Tools

PyTorch
TensorFlow
HuggingFace Ecosystem
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 Team

Faculty’s Research team conducts critical red teaming and builds evaluations for misuse capabilities in sensitive areas, such as CBRN, cybersecurity and international security, for several leading frontier model developers and national safety institutes; notably, our work has been featured in OpenAI's system card for o1.

Our commitment also extends to conducting fundamental technical research on mitigation strategies, with our findings published in peer-reviewed conferences and delivered to national security institutes. Complementing this, we design evaluations for model developers across broader safety-relevant fields, including the societal impacts of increasingly capable frontier models, showcasing our expertise across the safety landscape.

About the role

We are seeking a Senior Research Scientist to join our high-impact R&D. You will lead novel research that advances scientific understanding and fuels our ambition to build safe AI systems. This is a crucial opportunity to join a small, high-agency team conducting vital red teaming and evaluations for frontier models in sensitive areas like cybersecurity and national security. You'll shape the future of safe AI deployment in the real world.

What you'll be doing:
  • Owning and driving forward high-impact AI research themes in AI safety.
  • Contributing to the wider vision and development of Faculty’s AI safety research agenda.
  • Supporting Faculty’s positioning as a leader in AI safety through thought leadership and stakeholder engagement.
  • Shaping our research agenda by identifying impactful opportunities and balancing scientific and practical priorities.
  • Leading technical research within the AI Safety space, from concept to publication.
  • Supporting the delivery of evaluations and red-teaming projects in high-risk domains, such as CBRN and cybersecurity, with government and commercial partners.
Who we're looking for:
  • You have a track record of working with high-impact AI research, evidenced by top-tier academic publications or equivalent experience.
  • You bring proven experience or a clear passion for Applied AI safety, perhaps from labs, academia, or evaluation and red-teaming roles.
  • You possess deep domain knowledge in language models and generative AI model architectures, including fine-tuning techniques beyond API-level implementation.
  • You have practical machine learning experience, with a focus on areas such as robustness, explainability, or uncertainty estimation.
  • You are proficient with deep learning frameworks (PyTorch, TensorFlow, or similar) and familiar with the HuggingFace ecosystem or equivalent ML tooling.
  • You have demonstrable Python engineering experience to build and support robust research projects.
  • You have the ability to conduct and oversee complex technical research projects and possess excellent verbal and written communication skills.
Our Recruitment Ethos

We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters 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 (2 days in our Old Street office, London)

If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat - talent@faculty.ai. Please know we are open to conversations about part-time roles or condensed hours.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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