National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Machine Learning Engineer NLP Specialist

Eliden
London
1 week ago
Applications closed

Related Jobs

View all jobs

Director, Principal AI/NLP Engineer

Research Engineer, Data (Foundational Research, Machine Learning)

AI Engineer

Applied AI ML Lead - Senior Machine Learning Engineer - Commercial and Investment Bank

Applied AI ML - Senior Associate - Machine Learning Engineer

Senior Research Scientist (Foundational Research, Machine Learning)

Machine Learning Engineer NLP Specialist 

Location:London (Hybrid 1 day per week onsite) 

Employment Type:Permanent 

Salary:£70,000 - £90,000 per annum 

Benefits: 

  • Private healthcare and well-being programme
  • 28 days annual leave plus bank holidays 
  • Enhanced parental leave policies 
  • Annual performance-based bonus 
  • Budget for personal development and certifications 

About the Role: 

Our finance client is seeking a talentedMachine Learning Engineer NLP Specialistto join their dynamic AI team. You will play a key role in designing and implementing advanced Natural Language Processing (NLP) models, enabling smarter systems to improve search, information extraction, and classification. If you enjoy solving complex data challenges in an environment where innovation is encouraged, this role is for you. 

Key Responsibilities: 

  • Design and implement state-of-the-art NLP models for tasks such as entity extraction, text summarisation, and semantic understanding. 
  • Process and analyse diverse datasets, including structured text, tables, and images, to extract meaningful insights. 
  • Develop indexing and retrieval systems for high-speed, accurate search functionality. 
  • Explore and implement advanced techniques, such as Retrieval-Augmented Generation (RAG), to enhance AI capabilities. 
  • Conduct experiments to measure and improve the performance of NLP models. 
  • Build custom language models tailored to specific industry requirements. 

What Were Looking For: 

  • Proven experience with NLP frameworks such as Hugging Face, spaCy, or TensorFlow. 
  • Hands-on experience working with Large Language Models (LLMs) and deploying them in production. 
  • Advanced Python skills, with the ability to develop and optimise machine learning pipelines. 
  • Experience working with large, unstructured datasets and designing scalable workflows. 
  • Familiarity with Azure AI, AWS, or Google Cloud for AI deployment. 
  • Bonus: Knowledge of advanced NLP techniques and RAG. 
National AI Awards 2025

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.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.