Machine Learning Fellow - Human Frontier Collective (UK)
Scale AI · United Kingdom · Human Frontier Collective · listed February 12, 2026
The shape of it
Seniority
Principal
Experience asked
1–3 years
Where
Remote
Requirements listed
3
Length
775 words
In the posting’s own words
PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the country they reside in.
What it asks for · 3
- Education: PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field.
- Professional Background: 1-3+ years of experience as a Machine Learning Engineer or Data Scientist.
- Skills: Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow). Experience with cloud infrastructure (AWS) and MLOps tools (Docker, Langchain) is a plus.
What the job covers
- ML Projects: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Help models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and advising on GPU optimization, scaling, and trade-offs.
- HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
- Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict , PropensityBench , Professional Reasoning Benchmark ).
Degree language
- Education: PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field.
Tools and skills named
Models & research
- Machine learning4×
- PyTorch2×
- Deep learning
- GPU
- TensorFlow
Cloud & infra
- AWS
- Docker
Languages
- Python
Words the posting leans on
- professional5×
- research5×
- experience3×
- collective2×
- computer2×
- frontier2×
- get2×
- learning2×
- models2×
- note2×
- professional background2×
- projects2×
- pytorch2×
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