{"schemaVersion":"jobsearcher.job.v1","id":"89fef5f58a89cc2c63c30b8a","url":"https://jobsearcher.com/jobs/89fef5f58a89cc2c63c30b8a","canonicalUrl":"https://jobsearcher.com/jobs/89fef5f58a89cc2c63c30b8a","title":"Data & ML Engineer","description":"Senior Data & ML Engineer | Remote (EU) | 📍 3-month contract, likely extensions | 💸 €345/dayI'm working with a global technology consultancy that's delivering a large-scale data and machine learning programme for a major retail client, and they need a hands-on Senior Data & ML Engineer to join the team ASAP.The work is about getting ML running in production, not just building proofs of concept. The client wants live, real-time ML feeding customer-facing systems.This role suits someone who enjoys owning the whole journey, from raw and messy data to models serving in real time, and who has done it in production before.What you'll be doing:Building the features that power ML models, both scheduled batch jobs and live streamsTaking models from training through to serving, and keeping them healthy once they're liveTurning large, messy datasets (plenty of them unstructured) into something models can useBuilding streaming pipelines on SparkMaking sure everything in production is fast, stable and ready to scaleWhat they're looking for:Solid commercial experience as a Data or ML Engineer, with models you've taken all the way to productionDeep hands-on Databricks and PySpark, backed by strong Python and SQLReal hands-on MLflow and MLOps experience, managing the model lifecycle end to endReal-time know-how: Spark streaming, on-the-fly feature generation and fast model servingPipelines built for both training/retraining and live inferenceComfortable working with big volumes of unstructured dataBonus points for AWS, or recommendation/customer analytics workIf you've built real-time ML in production and want a remote contract with room to extend, I'd love to hear from you.","company":"Revtech","rawCompany":"revtech","city":"Jonesboro","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-10-01T23:14:08.478Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data & ML Engineer","description":"Senior Data & ML Engineer | Remote (EU) | 📍 3-month contract, likely extensions | 💸 €345/dayI'm working with a global technology consultancy that's delivering a large-scale data and machine learning programme for a major retail client, and they need a hands-on Senior Data & ML Engineer to join the team ASAP.The work is about getting ML running in production, not just building proofs of concept. The client wants live, real-time ML feeding customer-facing systems.This role suits someone who enjoys owning the whole journey, from raw and messy data to models serving in real time, and who has done it in production before.What you'll be doing:Building the features that power ML models, both scheduled batch jobs and live streamsTaking models from training through to serving, and keeping them healthy once they're liveTurning large, messy datasets (plenty of them unstructured) into something models can useBuilding streaming pipelines on SparkMaking sure everything in production is fast, stable and ready to scaleWhat they're looking for:Solid commercial experience as a Data or ML Engineer, with models you've taken all the way to productionDeep hands-on Databricks and PySpark, backed by strong Python and SQLReal hands-on MLflow and MLOps experience, managing the model lifecycle end to endReal-time know-how: Spark streaming, on-the-fly feature generation and fast model servingPipelines built for both training/retraining and live inferenceComfortable working with big volumes of unstructured dataBonus points for AWS, or recommendation/customer analytics workIf you've built real-time ML in production and want a remote contract with room to extend, I'd love to hear from you.","datePosted":"2026-10-01T23:14:08.478Z","dateModified":"2026-10-01T23:14:08.478Z","hiringOrganization":{"@type":"Organization","name":"Revtech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Jonesboro","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"89fef5f58a89cc2c63c30b8a"},"url":"https://jobsearcher.com/jobs/89fef5f58a89cc2c63c30b8a"}}