Machine Learning Research Engineer
3 Days Old
Overview
Machine Learning Research Engineer role at Latinx in AI (LXAI).
This is a fantastic opportunity to join a market-leading UK AI company, Luminance. Named in Tech Nation’s Future Fifty list and recipient of two Queen’s Awards, Luminance is described as a world-leading AI technology disrupting the legal profession. The role is based in Cambridge, United Kingdom, and is full-time and on-site.
Responsibilities
- Join a small, dynamic R&D team to prototype, build, and implement new approaches to AI problems.
- Determine output quality, efficiency, and feasibility in a data-driven manner compared with other techniques.
- Collaborate with team members on research activities and contribute to the advancement of AI solutions.
Qualifications & Requirements
- Strong analytical skills and ability to approach tasks in a scientific manner.
- Data science skills, including handling of large data sets, modelling, and evaluation.
- Understanding of software engineering concepts, particularly with machine learning development.
- Experience with machine learning Python frameworks such as PyTorch, TensorFlow and Scikit-Learn.
- For more senior candidates: understanding of, including published work within, related academic fields such as NLP, Computer Vision or Deep Learning.
- Relevant industry experience with demonstrable impact in a commercial setting.
- Significant practical usage of modern ML areas (NLP, Transformers, LLMs, NER, GANs, Reinforcement Learning, etc.).
- Master’s degree or postgraduate qualification from a top 200 global university, preferably in a technical subject (preferred).
Location & Employment
- Location: Cambridge, England, United Kingdom.
- Employment type: Full-time.
- Seniority level: Entry level (and open to more senior candidates with demonstrated experience).
Note: This description reflects the information provided in the job posting and has been refined for clarity and formatting. All content is kept in the original language and context as given.
- Location:
- Cambridge
- Job Type:
- FullTime
- Category:
- Engineering
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