In short

Enabling the power of Machine Learning for scale-ups and challengers

What do we do?

We develop automated Machine Learning (ML) applications. From dynamic pricing to recommendation engines. Our customers are fast growing scale-ups and challengers, striving to make data science and ML an important part of their products and services. With our team of data scientist and data engineers, we develop these ML engines.

Swishfund

“Floris de Vreede, Data Scientist at Swishfund, about Enjins: Working side-by-side with Enjins has been a very natural experience from the start. They clearly possess the necessary knowledge.”

Swishfund case

Predicting Airline Claims

Vlucht-vertraagd.nl helps airline passengers file compensation claims with their know-how & legal experts. Enjins adds up to this process by partial automation of deciding whether claims are viable with a predictive model.

Vluchtvertraagd case

Predictive Sales Engine

A music event’s success not only hinges on quality music and good vibes, but also on high attendance. By building a ticket sale forecasting engine, we offer DGTL an extra edge in the ever-expanding festival market.

DGTL case

Dynamic Pricing

Machine learning is rapidly revolutionizing different sectors, including human resources. Enjins developed the fully automated Wonderkind Predictive Learning Engine, enabling Dynamic Pricing for Wonderkind campaigns.

Wonderkind case

Data Science Infrastructure

Goboony is the fastest growing European sharing platform for campers. Enjins developed their data science infrastructure and is building towards Goboony’s recommendation engine to optimize supply and demand.

Goboony case

Data Science Healthcare Platform

Data science is healthcare’s next big thing. QuoMD is on the forefront of this development by objectifying diagnostics with AI. Enjins does their part by designing and setting up their scalable, future-proof data science infrastructure.

QuoMD case

Getting Machine Learning Ready

Enjins helps Finqle to become AI-ready. By realizing a setup of their analytics infrastructure and connecting all relevant data sources, Finqle is ready for smarter fraud prediction and payment anomaly detection. Working towards the goal of risk reduction.

Finqle case

careers

Want to become our next data engineer, scientist or machine learning hero?

Machine Learning Engineer

Full-time

Want to become a top Machine Learning Engineer? Working for an innovative tech start-up in the field of ML and Data Engineering? ? Check out our Machine Learning Engineer vacancy!

Student job: Machine Learning Engineer

Part-time

Want to gain working experience at a fast growing start-up? Check out our student job for machine learning engineers!

Internship – Developer

Internship

Looking for a developer internship? Bring your coding skills to practice? All within a fast moving start-up environment? Check out our developer internship!

What we do

Products and Services

Enjins Predictive Learning Containers

Our containers are images that contain essential software and packages to run and automate data science applications. Crucial for every data science engine, greatly reducing the time to market of your ML solutions. These containers enable us to get our ML engines in production within minutes.

Enjins Machine Learning Engine

The MLE enables real-time machine learning predictions within your applications. The engine takes millions of your internal and external data points as inputs and pushes ML predictions via API to your applications and digital (customer facing) environments for real-time predictions.

Get in touch

Curious to find out what machine learning can do for you?

Don’t hesitate to fill out the contact form and get in touch.

Contact Go to careers