ML Engineer (Forecasting) | NDA

Jobgether • Ireland

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Jobgether is seeking an ML Engineer (Forecasting) to design and deploy machine learning models for high-impact forecasting systems in a large healthcare environment. The ideal candidate will have expertise in time-series forecasting techniques and models, advanced Python programming skills, and experience deploying machine learning models into production environments. This is an excellent opportunity for an ML engineer who enjoys end-to-end ownership, applied research, and building production-grade forecasting systems.

Key Highlights

Design and deploy machine learning models for high-impact forecasting systems

Expertise in time-series forecasting techniques and models

Advanced Python programming skills and experience deploying machine learning models

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Key Responsibilities

Design, develop, and deploy machine learning models focused on time-series forecasting and demand prediction use cases

Build scalable data pipelines and ML workflows using cloud platforms

Collaborate with cross-functional teams to deliver robust solutions

Technical Skills Required

Python Pandas NumPy scikit-learn PyTorch AWS GCP Azure SQL Git

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Benefits & Perks

Competitive contract-based compensation

Fully remote working arrangement across Europe

Opportunity to work on real-world healthcare forecasting systems

Job Description

This role offers the opportunity to work on high-impact forecasting systems that directly influence operational efficiency within a large healthcare environment. You will design and deploy machine learning models that predict demand, optimize staffing, and improve resource allocation across clinical and marketing operations. Working in a fast-paced, project-driven setting, you will contribute to building scalable, production-ready ML solutions from early discovery through to deployment. The position involves close collaboration with data, product, and cloud engineering teams to transform complex healthcare datasets into actionable insights. With a strong focus on time-series forecasting and applied machine learning, you will help shape data-driven decision-making processes that have real-world impact. This is an excellent opportunity for an ML engineer who enjoys end-to-end ownership, applied research, and building production-grade forecasting systems.

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