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.

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Location:
Cambridge
Job Type:
FullTime
Category:
Engineering

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