

Machine Learning Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer in London, onsite 3 days/week, with a contract until December 31, 2025. Requires 2+ years in machine learning, Python, PyTorch, JS, React, and experience in generative AI preferred.
π - Country
United Kingdom
π± - Currency
Β£ GBP
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π° - Day rate
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ποΈ - Date discovered
August 13, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
London Area, United Kingdom
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π§ - Skills detailed
#AI (Artificial Intelligence) #React #Data Mining #ML (Machine Learning) #PyTorch #Python #Programming
Role description
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Role: Machine Learning Engineers - AI Research
Location: London β Onsite 3 days per week
Start Date: ASAP
Contract Duration: Until 31st December 2025 (with strong potential to extend)
Job description:
Looking for a machine learning software engineer with full-stack development experience and work on developing LLM agents for coding and machine learning tasks. Our goal is to create LLM agents that can automatically carry out AI and ML research tasks completely on their own. We want candidates with strong hands on experience in both machine learning engineering (training ML models), and who have full-stack SWE experience - both backend and frontend engineering. Ideal candidates should have experience with Python, Pytorch, JS and React and similar frameworks.
Minimum Qualifications:
2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence
Experience with developing machine learning models at scale, such as programmatically querying LLMs and LLM post-training.
Backend Programming experience in Python and hands-on experience with frameworks such as PyTorch.
Frontend SWE experience (preferably JS, React), building and deploying UIs.
Preferred Qualifications:
Direct experience in generative AI and LLM research
Master degree in ML areas
Experience with human data annotation for training LLMs