Machine Learning Research Engineer – NLP / LLM

NLP PEOPLE; Linton; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Comprehensive benefits

Research opportunities

Job summary

RedTech Recruitment Ltd. in Cambridge seeks a senior Machine Learning Research Engineer to explore novel NLP/LLM approaches, prototype concepts and push state-of-the-art in a fast-moving software environment.

The successful candidate will hold a PhD related to NLP, work on cutting-edge research projects, and collaborate across product teams. Hybrid role with 3 days in office and remote work, offering a competitive salary and comprehensive benefits.

Qualifications

• PhD from world-leading university in CS/Physics/Math or NLP-related field.
• Strong focus on classic ML rather than AI engineering.
• Strong knowledge of LLMs, NLP, ML/AI.
• Excellent academics with a minimum 2.1 degree and strong A-Levels.
• Published papers.
• Good understanding of software engineering concepts.
• Experience with ML Python frameworks (PyTorch, TensorFlow, Scikit-Learn).
• Data Science experience with large datasets.

Responsibilities

• Join a team researching the latest ML algorithms in NLP (and some computer vision).
• Suggest feasibility of research to shape future projects and products.
• Prototype research concepts.
• Determine output quality, efficiency, and feasibility compared with other techniques.

Skills

LLMs / NLP / ML

Data Science

Research experience

Publications

Education

PhD in CS/Math/Physics NLP

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 Ltd.

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)