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Machine Learning Development

Machine Learning Development Services

Predictive models that turn your data into better decisions: forecasts, recommendations, risk scores and anomaly detection, deployed and monitored in production.

  • From data to deployed model
  • Explainable results
  • MLOps and monitoring
5.0 on Clutch · 27 verified reviews (opens in a new tab)

What we offer

Machine Learning Development services

  • Forecasting

    Sales, demand and inventory predictions.

  • Recommendations

    Personalised products and content.

  • Fraud & Anomaly Detection

    Spot unusual transactions and events.

  • Classification

    Route tickets, documents and leads automatically.

  • MLOps

    Pipelines to train, deploy and monitor models.

  • Data Preparation

    Clean, labelled data ready for modelling.

    Learn more

How we deliver AI

From idea to production AI

  1. Use-case discovery

    We map where AI saves time or earns revenue, and agree how success is measured.

  2. Data readiness

    We review your data sources, access rules and privacy requirements.

  3. Fast feedback

    Proof of concept

    A working prototype on your real data, tested by your team.

  4. Evaluation

    Quality, safety and cost are measured against an agreed test set.

  5. Production rollout

    Secure integration with your apps, logins and workflows, with monitoring.

  6. Improve & scale

    Feedback loops, new use cases and cost optimisation as usage grows.

Technologies

Tools and technologies we use

Languages

  • Python
  • SQL

ML

  • scikit-learn
  • XGBoost
  • PyTorch
  • TensorFlow

MLOps

  • MLflow
  • Azure ML
  • SageMaker
  • Vertex AI

Client reviews

What clients say about working with us

Verified reviews from founders and CTOs on Clutch.

5.0 27 verified reviews

FAQ

Machine Learning Development: frequently asked questions

Straight answers to what clients ask us most.

Need advice for your project?

Every product is different. Talk to a senior engineer about your tech stack, timeline and team, and get honest advice on your next step.

Talk to an Expert
What is the difference between machine learning and generative AI?

Machine learning predicts or classifies from structured data; generative AI creates text, images or code. Many solutions combine both.

How much data do we need?

It depends on the problem. We assess your data first and tell you honestly whether a model is feasible.

How do you keep models accurate over time?

We monitor predictions and data drift and retrain models on a schedule or when quality drops.

Can the model explain its decisions?

Yes. We use explainability techniques so stakeholders understand the main drivers.

Free discovery call

Have an idea? Let's turn it into AI-powered software.

Book a free discovery call with our experts. Share your idea and we will help you shape the scope, timeline and budget, under NDA.

  • Free consultation
  • NDA before we talk
  • Transparent estimate