Machine Learning Services

Data is changing, are you?

We're used to plotting data and 2D trends to deliver business insight, but the shape of our data is changing.

As our data grows we need more advanced methods of analysis, if you're struggling with massively dimensional data, machine learning might be the answer.


How can ML help your Business?

We build bespoke AI solutions to help your company automate, optimise and extract insights to improve your products and services

Here are some examples.


  • Clinical Analytics
  • Early Diagnosis
  • Automated Administration


  • Demand Forecasting
  • Price Optimisation
  • Fault & Anomaly Detection


  • Fleet Management Maintenance
  • Revenue Analytics
  • Volume Predictions



  • Sales Forecasting
  • Customer Sentiment Analysis
  • Dynamic Pricing


  • Fault Detection
  • Estimating Remaining Useful Life
  • Improve Operational Efficiency

Finance & Insurance

  • Fraud Detection
  • Cross Sell Predictions
  • Underwriting & Credit Scores

Machine Learning: ​

Machine Learning is revolutionising the world of business intelligence.  As your data gets more complicated and the number of dimensions you need to model become more than just sales and geography Machine Learning is available to help solve these challenges. 

Supercharge your business intelligence to go from forecasting to predictive insights.


Prior to billing you can provide us with a problem brief and sample data, our team of in-house data scientists can then go to work investigating whether machine learning can help you.

This process involves data exploration, cleaning, and visualisation. The findings of this investigation will then be provided to you in a follow up meeting, any problems can be addressed, and a project statement will be made - it's your choice if you would like to continue from this point onwards.

Model Building

This is where the magic happens. Model building commences, our team will proceed to create, train, and test machine learning models tailored to your data and your problem.

This is an iterative process during which we use our expertise to evaluate our selection of models, find the one with the best performance, and demonstrate to you how the model performs.


When you're happy with the value that machine learning can provide,  we can either hand off deployment to you, or we can deploy the model for you. This involves containerising the model and deploying it to a location where its availability suits you. Whether or not we handle the deployment we can always provide maintenance, in order to fix problems or improve upon the model in light of new data.

Bringing Machine Learning to you

Machine learning is an industry agnostic tool, what we're offering to do is bridge the gap between your use case and our skillset. Below you can read about the various technologies and techniques we use to apply machine learning to various problems.


  • Oracle Data Science
  • Azure Machine Learning
  • TensorFlow
  • Scikit-learn
  • PyTorch
  • Python
  • Keras
  • R

Providing Access to the Cutting Edge

The myriad of platforms, technologies, and algorithms can make machine learning look inaccessible to small or medium sized enterprises.

You don't need a team of 100 data scientists or a budget of millions to get started, we have the cloud platforms and the data scientists available, all you need to bring is the data.

We utilise the following ML methods:

Supervised Learning

  • Linear Regression
  • Polynomial Regression
  • Ridge/Lasso Regression
  • K Nearest Neighbours
  • Bayesian Statistics
  • Support Vector Machines
  • Decision Trees
  • Logistic Regression

Ensemble Methods

  • Random Forests
  • Extreme Gradient Boost


Unsupervised Learning

  • Principal Component Analysis
  • Linear Descriminant Analysis
  • Singular Value Decomposition
  • Latent Semantic Analysis
  • K Means Clustering
  • Fuzz C Means Clustering

Neural Networks

  • Artificial Neural Networks
  • Convolutional Neural Networks
  • Autoencoders
  • Generative Adversarial Networks
  • Recurrent Neural Networks


DSP has helped the National Institute of Health Research to apply Machine Learning to enable the predictive programming of Cochlear implants; DSP understand Machine Learning and data so regardless of how industry specific your ML problem is DSP can help unlock insights into that data and help build new ways of interpreting existing data using Machine Learning models.

"Working closely in partnership with DSP-Explorer and leveraging the power of Oracle Cloud Infrastructure Data Science has enabled our team to gain new insights into how we can apply cutting edge machine learning approaches to help solve a challenging clinical need.”
“This partnership is helping us to develop mathematical models of how implants are programmed in the weeks and months following surgery, and once refined will have direct and immediate applications in the clinical environment for patient benefit.”

Padraig Kitterick
Hearing Team Lead | NIHR Nottingham Biomedical Research Centre



Get in Touch