---
title: ML Engineer
---

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- [About Us](https://renewcast.com/homepage#about)
- [Blog](https://renewcast.com/blog)
- [Newsletter](https://renewcast.com/homepage#newsletter)

[Contact us](https://renewcast.com/en/contact-us?hsLang=en)

# Machine Learning Engineer (Forecasting)

## **About RENEWCAST**

Renewcast builds high-accuracy wind & solar forecasting using advanced ML and weather modeling. The problem is scientifically rich, full of messy real- world constraints, and offers immediate impact.  
We work transparently, move quickly, and value people who thrive in applied environments where iteration matters more than perfection.

### **Your Role**

Youʼll join the modeling team as a mid-level machine learning engineer who boosts our capability across both experimentation and production.

This is not an MLOps or platform-only role. You will develop models, run experiments, and personally own them through deployment, monitoring, and fixes when they break.

You will:

- Strengthen the teamʼs ability to respond to **production challenges**, from monitoring signals to diagnosing unexpected model behavior;
- **Help keep deployments reliable** by contributing to batch inference workflows, retraining, and drift checks;
- Improve forecasting models through well-structured experiments and feature development;
- Work with weather, NWP, and geospatial data — learning the domain deeply over time;
- Participate in **roadmap conversations** without being expected to drive architectural decisions;
- Bring enthusiasm for the mission and a willingness to operate in an evolving, imperfect, high-impact environment;
- This role is a fit for someone who loves real-world ML, enjoys “getting their hands dirty,ˮ and wants to grow alongside other experienced data scientists.

#### **What You Will Do**

- Support model deployments: scheduled inference, retraining workflows, monitoring;
- Investigate data/model issues in production and help drive resolutions;
- Contribute to **forecasting model development** (experimentation, features, evaluation);
- **Clean, analyze, and transform** meteorological and time-series datasets;
- Run **experiments** that steadily **improve performance and robustness**; 
- Ensure **clarity and reproducibility through documentation** and structured workflows;
- Collaborate with the lead scientist on priorities and modeling directions.

##### **Must-Have Skills**

- 3-5 years of end-to-end ML experience (data → model → deployment);
- Solid Python skills and experience with PyTorch or comparable DL frameworks;
- Intuition for time-series modeling or spatiotemporal data;
- Experience deploying models (batch jobs, APIs, pipelines) and debugging production behaviours;
- Ability to work effectively in a dynamic environment with evolving tooling and datasets.
- Clear communication skills, eagerness to learn, and enthusiasm for renewable-energy challenges.

###### Bonus Points

- Exposure to weather/NWP or other scientific datasets.
- Experience with large-array formats (Zarr, Icechunk) or distributed frameworks.
- Familiarity with model monitoring, retraining cadence, or drift detection.
- Interest in probabilistic or ensemble forecasting

 

###### **Why Join Renewcast**

- Work on one of the most challenging and meaningful forecasting problems.
- Directly contribute to increasing the adoption of clean energy and accelerating the transition to a net-zero future.
- Combine scientific curiosity with real-world model deployment.
- Collaborate with experienced DS, MLOps, and engineering teammates.
- High autonomy, clear ownership, and direct impact on the product and mission.
- EU-friendly environment with an emphasis on growth and learning.

###### **What We Offer**

- Competitive compensation;
- Hybrid working with offices in Tallinn and Rome; preference is given to candidates based in Tallinn or Rome;
- High-ownership work environment with visibility to leadership.

###### **How to Apply**

Send your resume directly to **[recruiting@renewcast.com](mailto:recruiting@renewcast.com)**

**or Click below to apply.**

 

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##### Links

- [Services](https://renewcast.com/homepage#services)
- [Our Value](https://renewcast.com/homepage#value)
- [About Us](https://renewcast.com/homepage#about)
- [Blog](https://renewcast.com/blog)
- [Careers](https://renewcast.com/en/careers)

##### Press Release

- [SAFE/CLA - english version](https://eu1.hubs.ly/H0cg1Pb0)
- [SAFE/CLA - versione italiana](https://eu1.hubs.ly/H0cg2880)
- [Seed Round - Italian version](https://renewcast.com/hubfs/Renewcast%20SAFE_CLA%20-%20comunicato%20stampa%20-%20Versione%20Italiana%2006.%20Sep.%202024%20approved.pdf)
- [Board of Directors](https://renewcast.com/hubfs/Press%20Release/Board%20of%20Directors.pdf)
- [SAFE 2C Ventures - English Version](https://renewcast.com/hubfs/Press%20Release/SAFE%202C%20Ventures%20_%20English.pdf)
- [SAFE 2C Ventures - versione Italiana](https://renewcast.com/hubfs/Press%20Release/SAFE%202C%20Ventures%20_Italian_.pdf)

##### Privacy Policies

- [Privacy Policy](https://renewcast.com/en/privacy-policy)
- [Cookie Policy](https://renewcast.com/en/cookie-policy)
- [Privacy Policy (contact form)](https://renewcast.com/en/privacy-policy-0)
- [Privacy Policy (recruiting - CV)](https://renewcast.com/en/privacy-policy-0-0)
- [Whistleblowing](https://whistleblowing.renewcast.com/#/)

###### Contact Us

- fabio.nicolo@renewcast.com
- +39 340 3331807
- Viale Angelico, 205 - 00195 Rome, Italy

---

Renewcast is an Innovative Start-up registered in the Italian innovative start-up register.

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