Overview

Machine Learning Research EngineerThis is a fantastic opportunity to join market-leading UK AI company, Luminance. Named in Tech Nation’s prestigious Future Fifty list and the recipient of two Queen’s Awards, Luminance is the world’s most advanced AI technology which is disrupting the legal profession.Luminance is looking for dedicated and enthusiastic individuals with a strong academic background in Artificial Intelligence or a related field to join their RandD 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.If you are excited about this role but your skill or experience doesn’t perfectly align with the job description, we encourage you to apply anyway. At Luminance we are dedicated to building and promoting an inclusive workplace where everyone can flourish. You might just be who we’re looking for, for this role or another – enthusiasm is by far the most important requirement for any applicant to Luminance!

Desired Skills

Strong analytical skills and ability to approach tasks in a scientific mannerData science skills, including handling of large data sets, modelling and evaluationGood understanding of software engineering concepts, particularly with machine learning developmentExperience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-LearnFor more senior candidates: Understanding of, including published work within, related academic fields such as NLP, Computer Vision or Deep LearningRelevant industry experience with demonstrable impact in a commercial settingSignificant 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

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