Superbet Logo

Superbet

Senior Machine Learning Engineer - Applied ML & Research

Reposted 16 Days Ago
Be an Early Applicant
Easy Apply
Remote
Hiring Remotely in Spain
Senior level
Easy Apply
Remote
Hiring Remotely in Spain
Senior level
Lead design, build, and deployment of ML solutions across the product lifecycle, including feature engineering, training, evaluation, and monitoring. Collaborate with product and engineering to deliver measurable impact, implement reliable pipelines, improve reproducibility and observability, and communicate model behavior to stakeholders while promoting code quality and responsible ML practices.
The summary above was generated by AI

It’s an exciting time to join us! We’re entering new markets, developing new technologies, and moving step by step towards our goal of exciting the world. As our business grows, the number of exciting people initiatives grows with it, and we’re looking for a new colleague to partner with our team to bring these to life.

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:
  • Partner with product and engineering 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/inference pipelines and help improve reproducibility, testing, and observability
  • Communicate model behavior, 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
We're looking for someone with:
  • Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
  • 4+ 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
Bonus points for:
  • 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 like Kafka.
  • Contributions to open-source ML projects.

About us

We are a global technology company dedicated to building the future of entertainment and fan-centric experiences.

With commercial markets in Brazil, Belgium, Poland, Romania, and Serbia, our company has evolved from a leading sports betting and gaming operator into a diversified product and tech organization, gathering more than 5,000 dedicated people across our teams.

Shaping the future of play

At Super, we are creating a unique entertainment ecosystem engaging millions of customers worldwide. Our product and technology teams in Amsterdam (the Netherlands), Madrid (Spain), Zagreb (Croatia), London (UK), and Bucharest (Romania) are building the playstack that will champion the future of play.

Our ambitious growth strategy focuses on expanding across Europe and Latin America while delivering immersive customer experiences and creating lasting value for our customers, partners, and communities.

Global recognition and standards

The company’s long-term strategy is supported by world-class investors. In 2019, Blackstone, the world’s largest alternative asset manager, made a strategic minority investment of €175 million. In 2025, we strengthened our financial position through a €1.3 billion refinancing agreement, reinforcing our partnership with Blackstone and enabling accelerated global expansion.

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).


Top Skills

Aws Cloudformation
Aws Cognito
Aws Ec2
Aws Eks
Kafka
Large Language Models
Metaflow
Mlflow
Python
PyTorch
SQL
Xgboost
Zenml

Superbet Camden, England Office

38 Warren Street, Bloomsbury, Camden, United Kingdom, W1T 5LA

Superbet London, England Office

111 Buckingham Palace Road, 4th Floor, London, United Kingdom, SW1W 0SR

Similar Jobs

6 Hours Ago
In-Office or Remote
2 Locations
Expert/Leader
Expert/Leader
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Lead the BOS Integrated Services Hub, focusing on pre-sales, service delivery, and team management in a high-pressure telecom environment.
Top Skills: Ai/MlApi ManagementBssCloud-NativeCobitData AnalyticsItilMicroservice ArchitectureOssSafe
10 Hours Ago
Easy Apply
Remote
Easy Apply
Senior level
Senior level
Artificial Intelligence • Cloud • Edtech • HR Tech • Sales • Software • Generative AI
The Presales Engineer will bridge sales, product, and customer success by ensuring engagement of top learning organizations while mastering the technology and providing comprehensive support to sales teams.
Top Skills: APIsCRMErpHrisSaaSSsoWeb Services
18 Hours Ago
Remote or Hybrid
Mid level
Mid level
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The Program Manager drives customer experience strategy through research, optimizing touchpoints, data analysis, and cross-functional collaboration to enhance the customer journey.
Top Skills: GainsightHotjarPower BIQualtricsSalesforceTableau

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account