Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Principal AI Research Scientist – Natural Language Processing

NLP PEOPLE
Edinburgh
4 weeks ago
Create job alert
Overview

Our client is at the forefront of AI innovation and is seeking a world-class Principal AI Research Scientist specializing in Natural Language Processing (NLP) to join their dynamic, fully remote team. This position offers a unique opportunity to drive groundbreaking research and development in state-of-the-art NLP models and applications, impacting a global user base. The role requires a deep theoretical understanding and practical expertise in machine learning, deep learning, and advanced NLP techniques. You will be instrumental in shaping the future of how humans interact with technology through intelligent language understanding and generation.

Responsibilities
  • Lead the research and development of novel NLP algorithms and models, pushing the boundaries of artificial intelligence.
  • Design and implement advanced deep learning architectures for tasks such as text generation, summarization, sentiment analysis, and machine translation.
  • Conduct cutting-edge research in areas like transformer models, large language models (LLMs), and explainable AI (XAI) for NLP.
  • Collaborate with a global team of researchers and engineers to translate research findings into practical applications and product features.
  • Publish research findings in top-tier AI conferences and journals.
  • Mentor junior researchers and contribute to the scientific growth of the team.
  • Develop and maintain high-quality, production-ready code for AI models.
  • Stay abreast of the latest advancements in NLP, machine learning, and deep learning.
  • Contribute to the strategic direction of the company’s AI research roadmap.
  • Evaluate and benchmark new models and techniques against industry standards.
Qualifications
  • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • 10+ years of experience in AI research, with a strong focus on Natural Language Processing.
  • Proven track record of impactful research, evidenced by publications, patents, or significant contributions to open-source projects.
  • Deep expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face Transformers).
  • Proficiency in programming languages such as Python.
  • Experience with large-scale data processing and distributed computing.
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation skills, with the ability to articulate complex technical concepts clearly.
  • Experience leading research projects and mentoring junior scientists is highly desirable.
  • This is a fully remote position, offering flexibility and the opportunity to work from anywhere.
Company

WhatJobs

Level of experience: Senior (5+ years of experience).

Tags: Industry, Language Modeling, Language Understanding, Machine Translation, NLP, United Kingdom.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist / Migration + Databricks

Principal Data Scientist - Healthcare

Principal Data Scientist - Healthcare

Principal Data Scientist - Healthcare

Principal Data Scientist - Healthcare

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.