Machine Learning Research Engineer – NLP / LLM

NLP PEOPLE

Newcastle upon Tyne

On-site

GBP 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Competitive salary
Benefits package
Graduate training

Job summary

RedTech Recruitment seeks a Machine Learning Research Engineer specializing in NLP/LLMs to explore new concepts, prototype approaches, and assess feasibility for industry-leading software solutions. Cambridge based with a 3 days in-office, 2 days remote arrangement.

The ideal candidate holds a Ph.D. in a relevant field, with strong NLP/ML expertise, publications, and experience with PyTorch, TensorFlow and Scikit-Learn, plus data science work on large datasets.

Qualifications

  • PhD in Computer Science, Physics, Mathematics or related field, NLP focus preferred.
  • Strong theoretical and practical ML/NLP background with publications.
  • Experience with ML frameworks and large datasets.

Responsibilities

  • Investigate and prototype new NLP/LLM approaches.
  • Evaluate research outputs for feasibility and impact on products.
  • Collaborate with teams to shape future AI solutions.
  • Publish findings and contribute to internal knowledge base.

Skills

PhD in CS/Physics/Math/NLP
NLP & ML expertise
Prototyping & software concepts

Education

PhD from a world-leading University

Tools

PyTorch
TensorFlow
Scikit-Learn

Job 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

Salary: Highly competitive salary + comprehensive benefits

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

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Company:

RedTech Recruitment

Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):

Senior (5+ years of experience)

Tagged as: Academia, Natural Language Processing, Neural Networks, NLP, Speech Processing, United Kingdom

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