Research ML Engineer
Summary
Research ML Engineer focused on developing and scaling machine learning models, specifically LLM post-training and generative AI research using Python and PyTorch for a 12-month contract role.
Research Engineer
Location: London - Hybrid role- 3 days onsite
12 months contract
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.
- Programming experience in Python and hands-on experience with frameworks such as PyTorch.
- Experience writing software and executing complex experiments involving large AI models and datasets.
- Proven experience to translate insights into business recommendations
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Preferred Qualifications
- Direct experience in generative AI and LLM research
- PhD degree or research focused Master degree in ML areas
Flexibility: The team is open to hiring candidates who are currently completing their PhDs, provided they can work the required hours
Top 3 non-negotiable skills:
Hands-on Machine Learning Experience: At least two years of experience in machine learning, recommendation systems, artificial intelligence, or pattern recognition.
Developing Models at Scale: Experience developing models at scale, often demonstrated through internships at large tech companies or research lab experience.
Python Proficiency: Strong programming skills in Python are a requirement