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This listing was closed on Oct 17, 2026.
Browse Open JobsMachine Learning Researcher – NLP / LLM
Summary by AIEngineer.careers
Machine Learning Researcher – NLP / LLM is a AI Research Engineer role (full-time). with RedTech Recruitment. in CAMBRIDGE, GB. Compensation shown: $120K–$133K (est.). Imported listing (source: nlppeople.com). Apply on the employer's site (nlppeople.com).
Imported listing (source: nlppeople.com) · Apply on nlppeople.com
CAMBRIDGE · GB
$120K–$133K (est.)
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from nlppeople.com
We are seeking a Senior Machine Learning Research Engineer with expertise in NLP and LLMs to join a team in Cambridge, UK. The role involves investigating cutting-edge research concepts, prototyping algorithms, and evaluating feasibility for industry-leading software products. Ideal candidates hold a Ph.D. in a relevant field and have strong academic and practical backgrounds.
Responsibilities
- Investigate latest research in machine learning algorithms, primarily within NLP and some Computer Vision
- Prototype research concepts and determine output quality, efficiency, and feasibility
- Make suggestions based on research feasibility to shape future projects and products
Requirements
- Ph.D. from a world-leading university in Computer Science, Physics, Maths, or similar
- Expert knowledge in LLMs, NLP, and Machine Learning/AI
- Strong coding ability in Python
- Good understanding of software engineering concepts
- Excellent academic record (minimum 2.1 degree)
Nice to Have
- Published papers in relevant fields
- Experience working with large data sets
- Background in Speech Processing or Text Analytics
RR
RedTech Recruitment
Cambridge · GB · 16+ employees
RedTech Recruitment Ltd is a Cambridge-based STEM and technical recruitment consultancy founded in 2019. It supports candidates and employers across the UK and USA, with a focus on early-career STEM talent and experienced hires with roughly 1–5 years of commercial experience in technology, engineering and science.
