Senior Machine Learning Engineer - Applied ML & Research in London
Senior Machine Learning Engineer - Applied ML & Research

Senior Machine Learning Engineer - Applied ML & Research in London

London Full-Time 60000 - 80000 ÂŁ / year (est.) No home office possible
Superbet

At a Glance

  • Tasks: Drive development of cutting-edge machine learning solutions for online gaming platforms.
  • Company: Join a global tech company shaping the future of entertainment.
  • Benefits: Competitive salary, remote work options, and opportunities for professional growth.
  • Other info: Dynamic team environment with exciting projects and global expansion opportunities.
  • Why this job: Make a real impact on user experience and platform security for millions.
  • Qualifications: 4+ years in ML systems, strong Python skills, and a degree in a related field.

The predicted salary is between 60000 - 80000 ÂŁ per year.

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 will 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 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).

Senior Machine Learning Engineer - Applied ML & Research in London employer: Superbet

At Super, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Senior Machine Learning Engineer, you'll have the opportunity to work with cutting-edge technologies in a rapidly growing global company, while benefiting from a strong focus on employee development and well-being. Our Amsterdam location provides a vibrant environment, encouraging creativity and teamwork, making it an ideal place for professionals looking to make a meaningful impact in the entertainment industry.
Superbet

Contact Detail:

Superbet Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Machine Learning Engineer - Applied ML & Research in London

✨Tip Number 1

Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

✨Tip Number 2

Show off your skills! Prepare a portfolio of your best machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can make you stand out in interviews.

✨Tip Number 3

Practice makes perfect! Brush up on common ML interview questions and coding challenges. Mock interviews with friends or using online platforms can help you feel more confident when it’s your turn to shine.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team and being part of our exciting journey.

We think you need these skills to ace Senior Machine Learning Engineer - Applied ML & Research in London

Machine Learning
Python
ML Libraries (e.g., PyTorch, XGBoost)
SQL
Large Language Models (LLMs)
Data Exploration
Feature Engineering
Model Evaluation
Deployment
Monitoring
Training/Inference Pipelines
Code Quality
Documentation
Problem-Solving Skills
AWS Services (e.g., EC2, EKS)

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your machine learning projects, especially those involving Python and ML libraries like PyTorch or XGBoost. We want to see how you can contribute to our exciting journey!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how your experience aligns with our goals. Don’t forget to mention any relevant projects or technologies you've worked with that could benefit our team.

Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We love candidates who can break down ambiguous challenges and deliver solutions iteratively. Share specific instances where your work made a measurable impact!

Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you're keen on joining our team!

How to prepare for a job interview at Superbet

✨Know Your ML Fundamentals

Brush up on your machine learning fundamentals, especially around classifiers, regressors, and LLMs. Be ready to discuss how these concepts apply to real-world scenarios, particularly in online gaming.

✨Showcase Your Coding Skills

Prepare to demonstrate your coding abilities in Python and your familiarity with ML libraries like PyTorch and XGBoost. You might be asked to solve a problem on the spot, so practice writing clean, maintainable code.

✨Communicate Clearly

Practice explaining complex ML concepts in simple terms. You'll need to communicate model behaviour and trade-offs to both technical and non-technical stakeholders, so clarity is key!

✨Be Ready for Collaboration

Expect questions about cross-functional collaboration. Think of examples where you've partnered with product and engineering teams to deliver impactful ML solutions, and be prepared to discuss your approach to teamwork.

Senior Machine Learning Engineer - Applied ML & Research in London
Superbet
Location: London

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