From strategic planning to full deployment, get a production-ready AI solution — computer vision, NLP, RAG systems, ML models, and scalable MLOps infrastructure — built by an experienced AI & MLOps engineer based in London.
I Will Build Your End-to-End AI & Machine Learning Solution
Initial AI project assessment and strategic planning to give your project a clear, costed direction.
- AI strategic plan for your use case
- Cost analysis covering development and infrastructure
- Data strategy and readiness assessment
- Initial project assessment and feasibility review
- Delivered as a structured written document
- Post-delivery support for questions on the deliverables
Everything in Foundation plus expert model recommendations to guide your development decisions.
- All Foundation deliverables included
- Model recommendations — justified selection of algorithms and architectures
- Framework guidance (PyTorch, TensorFlow, scikit-learn, and others as appropriate)
- Suitability assessment for computer vision, NLP, ML, or time-series use cases
- Actionable development roadmap based on recommendations
- Post-delivery support for questions on the deliverables
The complete strategic and technical blueprint — everything you need to commission a full AI build with confidence.
- All Standard deliverables included
- Full technical architecture document — system design, infrastructure, and integration points
- MLOps pipeline plan covering deployment, containerisation, and cloud infrastructure
- Edge-device and API design considerations where relevant
- Production-readiness checklist and risk assessment
- Post-delivery support for questions on the deliverables
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Value Position
Experience Level
Tech Stack
Service Scope
Entry Point
What You'll Receive
Full Description
You have an AI idea. What you need next is a clear, structured path from concept to working software — and that is exactly what this service delivers.
With 5+ years of experience as an AI & MLOps Engineer, Zinn Digital™ builds complete, end-to-end artificial intelligence solutions designed for the real world. Whether you are starting from scratch, have a dataset ready to train on, or already have a model you need to deploy at scale, every engagement is scoped, planned and executed with precision.
**What you can have built:**
• Advanced Computer Vision — object detection and tracking (YOLO), semantic segmentation, pose estimation, facial recognition, and OCR.
• Intelligent NLP and Deep Learning — custom chatbots, autonomous AI agents, and Retrieval-Augmented Generation (RAG) systems powered by LLMs; time-series forecasting.
• Classic Machine Learning — classification, regression, clustering, and anomaly detection.
• Full-Stack MLOps and Deployment — high-speed scalable APIs with FastAPI, cloud infrastructure on AWS (S3, EC2, SageMaker), containerisation with Docker and Kubernetes, and edge-device optimisation for hardware such as Jetson Nano.
**How the tiers work:**
Every successful AI project begins with a solid foundation — understanding the business problem, assessing the data landscape, identifying costs, and mapping out a strategic direction. The entry tier delivers exactly that: a rigorous initial engagement producing an AI strategic plan, cost analysis, data strategy, and initial assessment. This alone saves weeks of misdirected effort and gives you a blueprint you can act on confidently.
The Standard tier adds model recommendations — specific, justified guidance on which algorithms and architectures best suit your use case — so you move into development with certainty rather than guesswork.
The Full Engagement tier layers on a complete technical architecture: the detailed system design, infrastructure decisions, integration points, and MLOps pipeline plan that a development team needs to build from. This is the definitive deliverable for organisations ready to commission a full build.
**Who this is for:**
Startups validating an AI-powered product concept. Established businesses looking to automate processes with machine learning. Data teams needing MLOps expertise to get models out of notebooks and into production. Technical founders who want a second expert opinion before committing budget.
**Why Zinn Digital™:**
Based in London, Zinn Digital™ covers the complete AI lifecycle — from raw data analysis and model training through to cloud deployment and post-delivery support. Clean code, real-world performance, and solutions tailored to your specific requirements rather than off-the-shelf templates.
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Compare Packages
| Feature | Foundation | Standard | Full Engagement |
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 10 days |
| Revisions | 1 | 1 | 2 |
| AI strategic plan for your use case | ✓ | ✕ | ✕ |
| Cost analysis covering development and infrastructure | ✓ | ✕ | ✕ |
| Data strategy and readiness assessment | ✓ | ✕ | ✕ |
| Initial project assessment and feasibility review | ✓ | ✕ | ✕ |
| Delivered as a structured written document | ✓ | ✕ | ✕ |
| Post-delivery support for questions on the deliverables | ✓ | ✓ | ✓ |
| All Foundation deliverables included | ✕ | ✓ | ✕ |
| Model recommendations — justified selection of algorithms and architectures | ✕ | ✓ | ✕ |
| Framework guidance (PyTorch, TensorFlow, scikit-learn, and others as appropriate) | ✕ | ✓ | ✕ |
| Suitability assessment for computer vision, NLP, ML, or time-series use cases | ✕ | ✓ | ✕ |
| Actionable development roadmap based on recommendations | ✕ | ✓ | ✕ |
| All Standard deliverables included | ✕ | ✕ | ✓ |
| Full technical architecture document — system design, infrastructure, and integration points | ✕ | ✕ | ✓ |
| MLOps pipeline plan covering deployment, containerisation, and cloud infrastructure | ✕ | ✕ | ✓ |
| Edge-device and API design considerations where relevant | ✕ | ✕ | ✓ |
| Production-readiness checklist and risk assessment | ✕ | ✕ | ✓ |
Extra Information
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Frequently Asked Questions
It is strongly recommended, especially for the Standard and Full Engagement tiers. AI projects vary enormously in scope, and a brief conversation ensures the deliverables are scoped correctly for your situation. Use the message button to share a short description of your project and we can confirm the right starting point.
At minimum, a clear description of your project goals — what problem you are trying to solve, what data you have or plan to acquire, and any known performance or technical requirements. The more context you provide, the more precise and actionable the deliverables will be. A requirements form is provided after purchase to capture this.
End-to-end AI solutions across computer vision (object detection, segmentation, facial recognition, OCR), NLP and large language models (chatbots, AI agents, RAG systems), classic machine learning (classification, regression, clustering, anomaly detection), time-series forecasting, and full MLOps deployment on AWS using Docker and Kubernetes.
Yes. If you have a pre-trained model in formats such as .h5, .pth, or pickle, a tailored engagement can cover API design with FastAPI and deployment as a scalable, containerised application on AWS. Describe your situation in the pre-order message and the correct scope and tier will be confirmed.
Yes, this is a core area of expertise. Sophisticated AI agents and Retrieval-Augmented Generation systems can be designed to reason, perform tasks, and answer questions based on your private documents or internal knowledge base — providing accurate, context-aware responses without exposing your data to public models.
Revisions cover amendments to the delivered documents based on your feedback — for example, updating the scope assumptions, refining architecture choices, or clarifying recommendations. They do not include entirely new project scopes. The number of included revision rounds is shown per tier, and additional rounds can be purchased as an add-on.
Most serious AI and MLOps projects are unique. Send a message describing your requirements and a custom offer will be prepared, including a free initial consultation to make sure the scope and budget are a good fit before any commitment is made.
Yes, all tiers include a period of post-delivery support to address questions or clarifications relating directly to the delivered work. For longer-term maintenance, additional feature development, or extended support, this can be arranged as a separate custom engagement.
Customer Reviews
See what our customers say about this Zinn
Any reservations I had were quickly put to rest by an online demonstration that was capable of using my own data, and all of the important questions I had were answered. The final result was impressively clean code that integrated perfectly with the larger project.
Overall, good work. I'm providing 5 stars on the condition that Bilal will make any modifications to the code if the teachers ask for them. Thanks.
Looking back, this project was far larger than anticipated and there's little chance I would have completed it on my own, in any amount of time.
Excellent work on AI Agent V1 — highly recommended Neil did a fantastic job delivering our AI Agent V1. The agent works smoothly, performs exactly as expected, and was delivered professionally. Communication was clear, timely, and easy throughout the process, which made everything feel very collaborative and stress-free. I’m extremely happy with the V1 results and confident enough in the quality of his work to move forward into AI Agent V2. If you’re looking for someone reliable, skilled, and easy to work with on AI development, I highly recommend Neil.
THE WORK WAS AMAZING
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