IBM-certified data science professionals based in London will build, validate, and deliver clean, well-documented Python ML or deep learning models — from classification and clustering to image processing and NLP.
I Will Build a Custom Machine Learning or Deep Learning Model in Python
A single, focused ML or Python task — classification, clustering, or prediction — delivered with clean source code.
- Research into your problem and data
- Data preprocessing pipeline
- Model creation tailored to your task
- Model validation and testing
- Fine-tuning for improved performance
- Clean, commented Python source code
Full ML or deep learning build with API integration and detailed model documentation for broader use.
- Everything in Basic
- API integration for your model
- Full model documentation with step-by-step guides
- Support for advanced tasks: NLP, sentiment analysis, image processing, or time-series
- PyTorch, TensorFlow, or Keras implementation as required
- Well-structured, production-ready codebase
End-to-end ML or deep learning solution including deployment, performance monitoring, and a revision round.
- Everything in Boost
- Cloud deployment of the trained model
- Performance monitoring setup
- Support for complex deep learning tasks: neural networks, object detection, multimodal models
- Exploratory data analysis and data visualisation included
- One round of code revisions after delivery
Request a Custom Offer
Log In to Request a Custom Offer
Create a free account or log in to request a personalised offer from this Zinner.
Log In / RegisterAsk a Pre-Sale Question
Log In to Ask a Question
To reduce platform spam, pre-sale messages can only be sent by logged-in users.
Create a free account or log in to message this Zinner directly.
Log In / RegisterAt a Glance
Key details about this service to help you decide. Generated by Zinn Hub, not the seller.
Value Position
Credentials
ML Coverage
Tech Stack
Upgrade Path
What You'll Receive
Full Description
Whether you need a reliable classification model, a clustering pipeline, a sentiment analyser, a time-series predictor, or a computer vision solution, you will receive production-quality Python code that is clean, well-commented, and ready to use.
Zinn Digital is a London-based team of IBM-certified data science professionals holding additional certifications from DeepLearning.ai, the University of Michigan, Johns Hopkins University, and Imperial College London. With over four years of hands-on Python development experience, the team combines deep mathematical understanding of ML and deep learning algorithms with practical expertise in PyTorch, TensorFlow, and Keras.
**What this service covers:**
Machine Learning — supervised and unsupervised learning, classification, regression, clustering, prediction, natural language processing, sentiment analysis, time-series analysis, and customer analytics.
Deep Learning — neural networks, multimodal neural networks, image processing, and object detection, implemented in PyTorch, TensorFlow, or Keras.
Data Science — data preprocessing, data augmentation, data visualisation, and exploratory data analysis.
Every delivery includes thorough research into your problem, rigorous data preprocessing, model creation, validation and testing, fine-tuning for optimal performance, and clean, commented source code. Higher tiers extend this to API integration, full model documentation, performance monitoring, and cloud deployment.
**How it works:**
Message the team before placing your order so they can assess the complexity of your task and confirm the right package. Once the order is placed, provide your dataset and project brief via the order manager. The team will keep you updated throughout and deliver everything directly through the platform.
**Who this is for:**
Startups building ML-powered features, researchers who need a reliable implementation, businesses seeking data-driven insights, and developers who want expert support on a complex modelling task.
**Why Zinn Digital:**
IBM-certified expertise, multi-institutional academic credentials, London-based professionals, punctual delivery, and a commitment to work that is genuinely well-documented and maintainable — not just a notebook that runs once.
Zinner Quality Guarantee
Every Zinner is reviewed and approved before joining the platform.
All services are backed by our quality assurance commitment.
Your payment is protected until you approve the delivered work.
Compare Packages
| Feature | Basic | Boost | Premium |
|---|---|---|---|
| Delivery Time | 1 days | 3 days | 7 days |
| Revisions | 0 | 0 | 1 |
| Research into your problem and data | ✓ | ✕ | ✕ |
| Data preprocessing pipeline | ✓ | ✕ | ✕ |
| Model creation tailored to your task | ✓ | ✕ | ✕ |
| Model validation and testing | ✓ | ✕ | ✕ |
| Fine-tuning for improved performance | ✓ | ✕ | ✕ |
| Clean, commented Python source code | ✓ | ✕ | ✕ |
| Everything in Basic | ✕ | ✓ | ✕ |
| API integration for your model | ✕ | ✓ | ✕ |
| Full model documentation with step-by-step guides | ✕ | ✓ | ✕ |
| Support for advanced tasks: NLP, sentiment analysis, image processing, or time-series | ✕ | ✓ | ✕ |
| PyTorch, TensorFlow, or Keras implementation as required | ✕ | ✓ | ✕ |
| Well-structured, production-ready codebase | ✕ | ✓ | ✕ |
| Everything in Boost | ✕ | ✕ | ✓ |
| Cloud deployment of the trained model | ✕ | ✕ | ✓ |
| Performance monitoring setup | ✕ | ✕ | ✓ |
| Support for complex deep learning tasks: neural networks, object detection, multimodal models | ✕ | ✕ | ✓ |
| Exploratory data analysis and data visualisation included | ✕ | ✕ | ✓ |
| One round of code revisions after delivery | ✕ | ✕ | ✓ |
Portfolio
Examples of the seller's work related to this Zinn.
Build a Custom Machine Learning or Deep Learning Model in Python
Build a Custom Machine Learning or Deep Learning Model in Python
Build a Custom Machine Learning or Deep Learning Model in Python
Extra Information
Why Choose Me
Tools I Use
Perfect For
Frequently Asked Questions
Yes — this is strongly recommended. Every ML task varies in complexity, and a brief conversation beforehand ensures the right package is selected and that the price accurately reflects the scope of your project. This avoids any inconvenience once the order is underway.
Yes. All code is well commented and written to be self-explanatory. A separate documentation file is also included, covering every step taken — from preprocessing through to model validation — so you can understand, maintain and build upon the work independently.
Please share your dataset (or a description of the data you have), a clear description of the problem you want to solve, any relevant context about your use case, and your preferred output format. The more detail you provide, the smoother the process.
Yes. On-time delivery is a firm commitment. Quality is not compromised even when timelines are tight — each delivery day shown per package is the maximum turnaround for that scope.
The team works extensively with PyTorch, TensorFlow and Keras for deep learning, alongside standard data science libraries for preprocessing, visualisation and modelling. The right framework for your project will be discussed and confirmed before work begins.
The Basic and Boost packages do not include revisions as standard — the scope is agreed upfront to ensure the delivery is accurate. The Premium package includes one revision. Additional revisions can be purchased as an add-on.
The service covers a broad range: classification, regression, clustering, prediction, natural language processing, sentiment analysis, time series analysis, image processing, object detection, neural networks and more. If you are unsure whether your task is in scope, please get in touch before ordering.
Cloud deployment means your trained model is set up to run in a cloud environment so it can be accessed and used beyond a local machine. The specifics depend on your infrastructure preferences, which will be discussed during the order.
Customer Reviews
See what our customers say about this Zinn
Excellent delivery and additional support
Really great experience
Exceptional level of professionalism. Look forwards to a long and fruitful relationship.
This is my fourth time working with Neil and once again everything was perfect. He resolved my issue promptly and provided clear explanations throughout the process. I highly recommend working with him
Neil A was an absolute pleasure to work with on the Data Science & ML project. His work exceeded expectations with exceptional professionalism and attention to detail. His quick responsiveness, deep understanding and politeness made the collaboration seamless and enjoyable.
Only logged in customers who have purchased this product may leave a review.
