Staff Machine Learning Engineer – Scalable Play Platform

Super Technologies; España; On-site; EUR 90,000 - 150,000; Full time

Benefits offered by this job

Medical / Health Insurance

Open Annual Leave

Employee Assistance Programme

Training & Learning Development

Job summary

Super is seeking a Staff Machine Learning Engineer for the Applied ML & Research team to drive ML solutions powering security, user experience, and data-driven decisions across our Europe-wide platform.

You will own the full ML lifecycle, mentor engineers, and set technical direction, collaborating with product, data, and engineering teams to ship production-ready models and shape our ML roadmap.

Qualifications

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy
• Proficiency in Python with libraries such as PyTorch, XGBoost, and Scikit-learn
• Strong experience with ML pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs)
• Track record of shipping production-level ML products and maintaining high code quality
• Excellent problem-solving skills and ability to scope complex ML projects

Responsibilities

• Identify high-impact ML opportunities and influence stakeholders to prioritise and support these initiatives
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders
• Set and guide technical direction across ML projects, ensuring alignment with technical best practices and business goals
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement

Skills

Python

PyTorch

XGBoost

Scikit-learn

Airflow

SageMaker Pipelines

LLMs

Production ML

Cross-functional leadership

SQL

Education

Master’s degree in ML / Data Science / CS

Tools

MLflow

ZenML

Metaflow

AWS

Kafka

Job description

Super is seeking a Staff Machine Learning Engineer for the Applied ML & Research team to drive ML solutions powering security, user experience, and data-driven decisions across our Europe-wide platform.

You will own the full ML lifecycle, mentor engineers, and set technical direction, collaborating with product, data, and engineering teams to ship production-ready models and shape our ML roadmap.