Success Story

Reed optimises candidate matching & marketing performance with production ML

woman clapping

Success Story

Reed optimises candidate matching & marketing performance with production ML

woman clapping

Success Story

Reed optimises candidate matching & marketing performance with production ML

woman clapping

Success Story

Reed optimises candidate matching & marketing performance with production ML

woman clapping

The challenges

Working alongside Godel, Reed.co.uk built predictive modelling, semantic recommendation systems, and a scalable MLOps foundation that is delivering commercial impact in a live recruitment environment.

Production-grade machine learning models that improved forecasting, marketing spend, and job matching. Reed.co.uk has designed and deployed production-grade machine learning models that improved application forecasting, optimised marketing spend, and strengthened personalised job matching. Working alongside Godel, Reed.co.uk built predictive modelling, semantic recommendation systems, and a scalable MLOps foundation that is delivering commercial impact in a live recruitment environment.

The challenges

Working alongside Godel, Reed.co.uk built predictive modelling, semantic recommendation systems, and a scalable MLOps foundation that is delivering commercial impact in a live recruitment environment.

Production-grade machine learning models that improved forecasting, marketing spend, and job matching. Reed.co.uk has designed and deployed production-grade machine learning models that improved application forecasting, optimised marketing spend, and strengthened personalised job matching. Working alongside Godel, Reed.co.uk built predictive modelling, semantic recommendation systems, and a scalable MLOps foundation that is delivering commercial impact in a live recruitment environment.

The challenges

Working alongside Godel, Reed.co.uk built predictive modelling, semantic recommendation systems, and a scalable MLOps foundation that is delivering commercial impact in a live recruitment environment.

Production-grade machine learning models that improved forecasting, marketing spend, and job matching. Reed.co.uk has designed and deployed production-grade machine learning models that improved application forecasting, optimised marketing spend, and strengthened personalised job matching. Working alongside Godel, Reed.co.uk built predictive modelling, semantic recommendation systems, and a scalable MLOps foundation that is delivering commercial impact in a live recruitment environment.

The challenges

Working alongside Godel, Reed.co.uk built predictive modelling, semantic recommendation systems, and a scalable MLOps foundation that is delivering commercial impact in a live recruitment environment.

Production-grade machine learning models that improved forecasting, marketing spend, and job matching. Reed.co.uk has designed and deployed production-grade machine learning models that improved application forecasting, optimised marketing spend, and strengthened personalised job matching. Working alongside Godel, Reed.co.uk built predictive modelling, semantic recommendation systems, and a scalable MLOps foundation that is delivering commercial impact in a live recruitment environment.

The challenge

Reed needed to increase marketing efficiency and improve its candidate-role alignment without compromise

The business needed four things: more accurate forecasts of the job application volumes it could actually achieve, less wasted paid marketing, personalisation that goes beyond keyword matching, and machine learning that works in production rather than in isolated experiments. It had to be embedded in the business and commercially measurable.

AI that finally pays off.