AI / Machine Learning Engineer NLP / LLM - Contract

Involved Solutions; Manchester; Remote; GBP 150,000 - 200,000; Full time

Job summary

A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer to design and train Large Language Models. This role emphasizes Natural Language Processing and AI-powered chatbots. Ideal candidate will have experience in deep learning and deploying conversational AI systems. The position is fully remote, offering £500 per day for a 6-month contract.

Qualifications

• Pro experience in Natural Language Processing (NLP) and LLMs.
• Strong understanding of deep learning principles.
• Solid background in data science and machine learning.

Responsibilities

• Design and train Large Language Models (LLMs) from scratch.
• Contribute to the development of AI-powered chatbots.
• Work with data and engineering teams for model fine-tuning.

Skills

Natural Language Processing (NLP)

Large Language Models (LLMs)

Deep learning principles

Transformer-based architectures

Chatbot development

Job description

AI / Machine Learning Engineer (NLP / LLM) – Contract Position

Contract Duration: 6 months • Rate: Up to £500 per day • IR35: Outside • Location: Fully Remote (occasional ad‑hoc travel to office)

The Role: A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer / Data Scientist to support the development of next‑generation AI solutions. This is an exciting opportunity to play a key role in designing and training Large Language Models (LLMs) from the ground up, and to contribute to the creation of an intelligent AI‑powered chatbot that transforms the way information and insights are delivered. You’ll work closely with the client’s in‑house data and engineering teams to design, train, and fine‑tune transformer‑based models for complex natural language processing tasks, ensuring accuracy, efficiency, and scalability.

Experience Requirements

• Pro experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch.
• Strong understanding of deep learning principles and experience working with transformer‑based architectures (e.g., GPT, BERT, T5).
• Solid background in data science and machine learning, including model development, training, evaluation, and deployment.
• Experience building and deploying chatbots or conversational AI systems.