Machine Learning Research Engineer

Description:

Machine Learning Research Engineer - NLP / LLM

An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems.

Location: Cambridge – 3 days in office / 2 days remote

Requirements for Machine Learning Research Engineer

• You will have a Ph.D from a world-leading University in a Computer Science, Physics, Maths or similar (we are very keen to hear from those with a Ph.D. directly related to NLP)
• Experience weighted more towards classic machine learning than AI Engineering
• Strong knowledge in LLMs, NLP and Machine Learning / AI
• Excellent academics throughout including a minimum of a 2.1 degree from a leading university, AAB at A-Level
• Published papers
• Good understanding of software engineering concepts
• Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn
• Data Science experience including working with large data sets

Responsibilities for Machine Learning Research Engineer

• Join a team responsible for investigating the latest research in machine learning algorithms – largely within the NLP field along with some computer vision
• Make suggestions based on the feasibility of research to help shape future projects and products
• Prototyping research concepts
• Determining output quality, efficiency, and feasibility compared with other techniques

What this offers

• Working for an industry-leading software company who have a fantastic track record of successfully hiring and training graduates
• Highly interesting work researching the next phases of cutting-edge, machine-learning software
• A good remuneration and benefits package