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Machine Learning Research Engineer – NLP / LLM
Summary by AIEngineer.careers
Machine Learning Research Engineer – NLP / LLM is a AI Research Engineer role (full-time). with RedTech Recruitment. in PORTSMOUTH, GB. Imported listing (source: nlppeople.com). Apply on the employer's site (nlppeople.com).
Imported listing (source: nlppeople.com) · Apply on nlppeople.com
PORTSMOUTH · GB
—
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
RedTech Recruitment is hiring a Machine Learning Research Engineer for an industry-leading software company in Cambridge, UK. The role focuses on investigating cutting-edge NLP and LLM research, prototyping new concepts, and determining feasibility and quality against other approaches. This position is ideal for a PhD-level researcher with published papers and strong classic machine learning expertise. The work is hybrid, with 3 days in the office and 2 days remote.
Responsibilities
- Investigate the latest research in machine learning algorithms, largely within NLP along with some computer vision
- Make suggestions based on research feasibility to help shape future projects and products
- Prototype research concepts
- Determine output quality, efficiency, and feasibility compared with other techniques
Requirements
- PhD from a leading university in Computer Science, Physics, Maths, or similar; a PhD directly related to NLP is highly valued
- Experience weighted more towards classic machine learning than AI engineering
- Strong knowledge of LLMs, NLP, and Machine Learning / AI
- Excellent academic record including a minimum 2.1 degree from a leading university and AAB at A-Level
- Published papers
- Good understanding of software engineering concepts
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.
