Machine Learning Engineer, LLM Training & Customization (Remote)

NLP PEOPLE; Nottingham; Remote; GBP 70,000 - 90,000; Full time

Job summary

A leading AI technology firm in Nottingham is seeking a Senior Machine Learning Engineer to train and fine-tune Large Language Models (LLMs) and develop custom AI workflows. The ideal candidate has over 5 years of experience in ML & NLP, proficiency in Python and LLM fine-tuning techniques, and a strong understanding of vector databases. This role offers an exciting opportunity to work on cutting-edge AI projects and optimize production environments.

Qualifications

• 3+ years of experience in Machine Learning & NLP, with a focus on LLM training and deployment.
• Experience with LLM fine-tuning techniques such as LoRA, PEFT, and instruction tuning.
• Strong understanding of vector databases (Pinecone, Weaviate, FAISS) and embedding models.

Responsibilities

• Train and fine-tune Large Language Models (LLMs) based on client domains.
• Design, develop, and optimize custom AI workflows integrating LLMs.
• Collaborate with software engineers to integrate AI models into real-world applications.

Skills

Machine Learning & NLP

LLM fine-tuning techniques

Python

PyTorch

TensorFlow

Hugging Face Transformers

LangChain

CrewAI

LangFlow

vector databases

prompt engineering

Tools

Kubernetes

Docker

cloud-based ML workflows

Job description

What You’ll Do

• Train and fine-tune Large Language Models (LLMs) based on client domains and industry-specific data.
• Design, develop, and optimize custom AI workflows that integrate LLMs into production environments.
• Utilize LangChain, CrewAI, and LangFlow to orchestrate complex LLM-based applications.
• Implement and optimize retrieval-augmented generation (RAG) techniques for better contextual responses.
• Work on data preparation pipelines, including tokenization, augmentation, and embedding optimizations.
• Develop scalable and efficient inference pipelines for deploying LLMs in production.
• Collaborate with software engineers to integrate AI models into real-world applications.
• Optimize model performance, latency, and cost to ensure smooth deployment at scale.
• Research and experiment with cutting-edge AI advancements in LLM fine-tuning and prompt engineering.

What You’ll Bring

• 3+ years of experience in Machine Learning & NLP, with a focus on LLM training and deployment.
• Experience with LLM fine-tuning techniques such as LoRA, PEFT, and instruction tuning.
• Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
• Hands-on experience with LangChain, CrewAI, and LangFlow (bonus points for deep expertise).
• Strong understanding of vector databases (Pinecone, Weaviate, FAISS) and embedding models.
• Experience building production-ready AI products, ensuring scalability and reliability.
• Deep knowledge of prompt engineering, tokenization strategies, and data augmentation for LLMs.
• Familiarity with ML-Ops best practices, cloud-based AI deployments, and GPU optimizations.
• A passion for AI-driven automation, custom model development, and pushing the boundaries of LLM capabilities.

Bonus Points

• Experience deploying LLMs in low-latency, real-time environments.
• Strong background in serverless AI architectures and containerized deployments.
• Hands-on experience with Kubernetes, Docker, and cloud-based ML workflows (AWS/GCP/Azure).
• Knowledge of speech-to-text (STT), text-to-speech (TTS), or conversational AI.

Company

InspHire

Qualifications

Senior (5+ years of experience)

Language requirements

N/A

Specific requirements

N/A

Educational level

N/A

Level of experience (years)

Senior (5+ years of experience)