Senior Machine Learning Engineer - Remote-First, High-Impact

Imaginary Cloud; Portugal; Remote; EUR 39,000 - 61,000; Full time

Benefits offered by this job

Salary according to experience and per

Paid sick days

Health and dental insurance

Comfort budget

Job summary

Imaginary Cloud is seeking an experienced ML Engineer to design and deliver production‑level ML solutions in a cloud‑native environment. You will collaborate with engineering and product teams, drive experiments, and optimize ML pipelines for scalability and reliability.

The role requires 5+ years in ML, strong Python, and hands-on experience with LightGBM/XGBoost, PyTorch, MLflow, and time-series tooling. Fluency in English and eligibility to work in Portugal are essential.

Qualifications

• 5+ years of working experience in ML engineering or closely related role.
• Academic background in Computer Science, Data Science, Engineering or related quantitative field.
• Hands-on experience delivering production-level, cloud-native ML solutions.
• Excellent proficiency in Python and related practices (git, code review, linters, unit tests and CI/CD).
• Solid experience with a modern ML stack (LightGBM, XGBoost, scikit-learn, PyTorch, MLflow, time-series tooling).
• Strong feature engineering and model training/evaluation skills.
• Familiar with Agentic AI tools and debugging workflows.
• Analytical mind with problem-solving aptitude and collaboration with teams.
• Fluency in English; willingness to live and work in Portugal.

Responsibilities

• Develop production-level ML solutions in a cloud-native environment.
• Collaborate with engineering and product teams to translate requirements.
• Drive experimentation, model training, and evaluation for production readiness.
• Leverage modern ML tooling and MLOps practices to sustain solutions.
• Mentor teammates and contribute to continuous improvement.

Skills

5+ years experience in ML engineering

Python proficiency

CI/CD pipelines

ML stack experience

LightGBM / XGBoost

scikit-learn

PyTorch

MLflow

Time series tooling

Cursor IDE

GitHub Copilot

Feature engineering

Model training & evaluation

English fluency

Collaboration with engineering/product

Education

Background in Computer Science / Data Science / Engineering or related field

Tools

Git

Docker

Cursor IDE

GitHub Copilot

MLflow

LightGBM / XGBoost

PyTorch

Job description

Imaginary Cloud is seeking an experienced ML Engineer to design and deliver production‑level ML solutions in a cloud‑native environment. You will collaborate with engineering and product teams, drive experiments, and optimize ML pipelines for scalability and reliability.

The role requires 5+ years in ML, strong Python, and hands-on experience with LightGBM/XGBoost, PyTorch, MLflow, and time-series tooling. Fluency in English and eligibility to work in Portugal are essential.