Machine Learning Research Engineer
Role details
Job location
Tech stack
Requirements
Do you have a Master's degree?, Luminance is looking for dedicated and enthusiastic individuals with a strong academic background in Artificial Intelligence or a related field to join their R&D team based in Cambridge, UK. Successful candidates will be part of a small, dynamic team responsible for: prototyping, building and implementing new approaches to AI problems; and determining output quality, efficiency, and feasibility compared with other techniques in a data-driven manner.
This role is open to both graduates with a willingness to learn the desired skills, and more senior candidates with proven, prior experience in them., Strong analytical skills and ability to approach tasks in a scientific manner Data science skills, including handling of large data sets, modelling and evaluation Good 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.) Requirements Master's degree or Postgraduate (preferred) qualification from a Top 200 Global University, preferably in a technical subject