---
title: "I Will Build Custom ML, NLP and Generative AI Solutions"
url: https://zinnhub.com/zinns/build-machine-learning-nlp-gen-ai-apps-using-ai-agents-n8n-ai-agent-llm-models/
description: "From data cleaning and model training to fine-tuned LLMs, AI agents and cloud deployment — production-ready machine learning engineered in London for startups, businesses and researchers."
published: 2025-11-13T05:54:40+00:00
modified: 2026-10-19T17:29:15+00:00
language: en-GB
---

# I Will Build Custom ML, NLP and Generative AI Solutions

If you need a [machine learning](https://zinnhub.com/zinns/do-machine-learning-nlp-deep-learning-projects-in-python/) solution that actually works in production — not just a notebook experiment — you are in the right place.

As a London-based machine learning engineer with 2+ years of real-world experience across ML, NLP, Generative AI, [Deep Learning](https://zinnhub.com/zinns/deep-learning-with-neural-networks-using-pytorch-by-zinn-digital/) and agentic automation, I build clean, well-commented, production-ready code tailored to your exact requirements. Whether you are a startup that needs a first predictive model, a business owner looking to automate operations with AI agents, or a researcher requiring advanced analytics, this service is built for you.

\*\*What Is Included Across All Tiers\*\*

Every engagement begins with thorough research into your data and objectives, followed by rigorous data preprocessing and feature engineering. I then build and document your model so you understand what you have received and why it works. The entry tier covers core data cleaning, visualisation and ML model training — a solid, documented foundation.

\*\*Core Capabilities\*\*

Custom ML models (Regression, Classification, Clustering), Deep Learning with TensorFlow and PyTorch, Exploratory Data Analysis and data visualisation, end-to-end Python automation, AI agents built with Langchain, LangGraph, AutoGen, OpenAI, Llama, RAG and LlamaIndex, LLM fine-tuning, and backend and cloud deployment via Flask, FastAPI, Streamlit, AWS SageMaker and AWS Bedrock.

\*\*How It Works\*\*

Once your order is placed, share your dataset, project brief and any relevant context via the order chat. I will review and confirm scope before beginning. Throughout the project, all communication stays within the order manager so you always have a clear record. Deliverables are shared as production-ready code files and documentation, with revisions handled promptly.

\*\*The Three Tiers\*\*

The Basic tier is ideal if you need data cleaning, visualisation and a trained ML model — a fast, affordable starting point. The Standard tier adds model validation and testing, source code, and cloud deployment, making it suitable for projects that need a live, verified solution. The Premium tier adds performance monitoring, LLM fine-tuning and API integration for complex, enterprise-grade AI systems that need to be maintained and scaled.

\*\*Why Choose This Service\*\*

2+ years of real-world ML and automation experience, clean and well-commented production-ready code, full data confidentiality, and a 100% satisfaction or money-back policy. Every deliverable is documented so your team can maintain and build on it confidently.