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Machine Learning Fellow - Human Frontier Collective (UK)

Scale AIUnited KingdomHuman Frontier Collective
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Salary
Not listed
Job type
Full-time
Posted
12 Feb 2026
Status
Open · checked 7d ago

About this role

The Machine Learning Fellow position at Scale AI within the Human Frontier Collective offers professionals in the United Kingdom an opportunity to shape frontier artificial intelligence systems. This independent contractor role suits experienced researchers and industry experts passionate about advancing human-centered AI through collaborative projects and research.

Role Overview

As a Machine Learning Fellow for the Human Frontier Collective at Scale AI, participants help guide how advanced artificial intelligence models are built, evaluated, and governed. Fellows engage in a flexible independent contractor arrangement where they join a network of field leaders, contribute to high-impact machine learning projects, and collaborate on published academic research. The position operates on a flexible schedule with most participants dedicating ten to twenty-five hours per week.

Key Responsibilities

Build safety and policy guardrails for advanced artificial intelligence models.
Help systems understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models.
Evaluate complex machine learning code and AI-generated implementations to ensure efficiency and correctness.
Collaborate with the research team at Scale AI to co-author technical reports and published academic papers.
Participate in virtual sessions, discussion channels, and community events hosted by the collective.

Requirements

Hold a PhD or postdoctoral research experience in Computer Science, Machine Learning, or a related academic discipline, or possess senior industry experience in a related field.
Demonstrate strong proficiency in Python and modern machine learning frameworks such as PyTorch or TensorFlow.
Possess a detail-oriented, innovative mindset with a dedication to applied research and teamwork.
Hold full-time work authorization in the United Kingdom, as visa sponsorship is not provided for this program.

Nice to Have

Practical experience working with cloud infrastructure like AWS.
Familiarity with MLOps tools including Docker.
Experience utilizing large language model frameworks such as LangChain.

Skills and Tools

Python
PyTorch
TensorFlow
AWS
Docker
LangChain
MLOps
Large Language Models

About the Company

Scale AI builds reliable artificial intelligence systems designed for critical global decisions. The organization delivers high-quality data and comprehensive technology that support leading models, assisting enterprises and government bodies in deploying impactful applications. Collaborating with major industry partners and public sector entities, Scale AI fosters an inclusive, equal opportunity workplace dedicated to advancing frontier technology.

How to Apply

Interested candidates should visit the official company careers page to submit an application. The evaluation process includes rolling application reviews followed by an interview discussing research background, professional experience, and alignment with the mission of the collective.

Skills and tech stack

Questions candidates ask

What is the time commitment for the Machine Learning Fellow role?

There is no minimum time commitment or fixed end date. Most fellows choose to spend between ten and twenty-five hours per week on a schedule they set themselves.

What kind of background do I need to apply?

Applicants must have a PhD or postdoctoral research background in Machine Learning, Computer Science, or a related field, or alternatively possess senior industry experience in a related area.

Are visas sponsored for this position?

No, visa sponsorship is not available for this role. Candidates must already have or independently obtain full-time work authorization in their country of residence.

What technical skills are required?

Candidates need strong proficiency in Python alongside modern machine learning frameworks like PyTorch or TensorFlow.

Can I co-author research publications as a Fellow?

Yes, Fellows have the opportunity to collaborate directly with the research team at Scale AI to co-author technical reports and selected academic research papers.

Ready to apply?

The application is on the official Scale AI careers page.

Apply on company site