Machine Learning Engineer - Applied ML & Research

super; España; On-site; EUR 52,000 - 78,000; Full time

Benefits offered by this job

Medical / Health Insurance

Open Annual Leave

Employee Assistance Programme

Training & Learning Development

Job summary

Super is hiring an ML Engineer to shape the next era of play across Europe and Latin America. You will partner with product and engineering to design and deploy ML solutions that impact millions of users, from data exploration to monitoring in production.

The role emphasizes building reliable training and inference pipelines, documenting models, and contributing to best practices in responsible ML across a global team.

Qualifications

• Bachelor's degree in ML, DS, Stats, CS or related field.
• 2+ years of industry experience building and deploying ML systems.
• Proficiency in Python and ML libraries (PyTorch, XGBoost) and SQL.

Responsibilities

• Partner with product and engineering teams to identify and execute ML use cases with measurable impact.
• Design, build, and iterate on ML solutions (classifiers, regressors, ranking, rule-based components).
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, monitoring.
• Implement reliable training and inference pipelines with reproducibility and tests.
• Communicate model behavior and trade-offs to technical and non-technical stakeholders.
• Contribute to team standards: code quality, documentation, experimentation hygiene, responsible ML practices.

Skills

Python

PyTorch

SQL

LLMs

Education

Bachelor's degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or related field

Tools

MLflow

ZenML

Metaflow

Job description

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.

What the role involves

• Partner with product and engineering teams to identify and execute machine learning use cases that deliver measurable impact.
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components).
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring.
• Implement reliable training and inference pipelines, and help improve reproducibility, testing, and observability.
• Communicate model behaviour, trade-offs, and results clearly to both technical and non-technical stakeholders.
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices.

What we are looking for

• Bachelor's degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 2+ years of industry experience building and deploying ML systems.
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices.
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively.

Nice to have

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms such as Kafka.
• Contributions to open-source ML projects.
• Master's degree in a relevant field.

What we offer

• Medical / Health Insurance
• Open Annual Leave
• Employee Assistance Programme
• Training & Learning Development

Additional benefits vary by country and will be shared during the hiring process.

About Super

We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.

Shaping the Future of Play

Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers

Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).

At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.