Director of Machine Learning and AI

We\’re looking for an experienced engineering leader to support the Machine Learning, Research and ML Ops group, which is at the forefront of driving innovation and delivering impactful solutions for Superbet\’s customers. By combining cutting-edge applied machine learning, foundational research, and seamless ML operations, the team harnesses data to revolutionize the online gambling and sports betting experience. From predictive analytics and personalization to fraud detection and real-time recommendations, the group transforms complex data into actionable insights that enhance customer engagement, trust, and satisfaction.
The teams also ensure that deploying and maintaining machine learning models in production is streamlined, scalable, and efficient. This enables the company to experiment rapidly, iterate confidently, and deliver value at speed. By leveraging machine learning to create smarter systems and deeper customer understanding, the group plays a pivotal role in shaping the future of the company, fostering a data-driven culture, and ensuring we deliver unparalleled experiences to our players.
Key Responsibilities:

• Leadership & Management:
  • Lead and mentor 3+ teams of talented data scientists, ML engineers, software engineers, and managers, providing guidance and support in their day-to-day activities.
  • Oversee the execution, recruitment, development, growth and performance of the machine learning team.
  • Foster a collaborative and innovative team environment while building strong partnerships with product management and stakeholders
• Project Management:
  • Manage and prioritise machine learning and ML platform projects to align with business goals and objectives.
  • Ensure timely delivery of high-quality machine learning solutions.
  • Coordinate with cross-functional teams to integrate machine learning models into production systems.
• Technical Expertise:
  • Design, develop, and deploy advanced machine learning models to solve complex business problems.
  • Stay updated with the latest trends and advancements in machine learning and AI technologies.
  • Conduct code reviews and ensure best practices in model development and deployment.
• Collaboration:
  • Communicate effectively with stakeholders to understand their needs and translate them into actionable machine-learning projects.
  • Present findings and insights to senior management and other stakeholders.
• Strategic Planning:
  • Develop and implement strategies for building and scaling machine learning solutions.
  • Drive the long-term vision and roadmap for machine learning capabilities at Superbet.
  • Identify opportunities for innovation and improvement in existing processes and systems.

Qualifications:

• Master\’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
• Proven experience (5+ years) in machine learning and data science roles.
• Proven experience (5+ years) leading/managing engineering teams, supporting the growth and performance of engineers and managers
• Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Experience with cloud computing platforms primarily AWS and containerisation technologies (e.g., Docker, Kubernetes).
• Demonstrated experience in leading and managing technical teams.
• Excellent problem-solving skills and the ability to work independently and collaboratively.
• Strong communication and interpersonal skills.

Preferred Qualifications:

• Experience in the gaming or entertainment industry.
• Proven experience (5+ years) leading/managing an engineering organization made of up engineers and managers, supporting their growth and performance
• Knowledge of MLOps and experience in deploying machine learning models in production.
• Experience working with tools and technologies such as Spark, Snowflake, Qwak, MLFlow, Airflow, etc.
• Contributions to open-source AI/ML projects or participation in AI/ML competitions (e.g., Kaggle).
• Experience with training and fine-tuning large-scale foundation models (e.g., GPT, BERT, T5) for various tasks.
• Publications in top AI conferences, such as AAAI, IJCAI, NeurIPS, ICML, ICLR.

What We Offer:

• Competitive salary and comprehensive benefits package.
• Opportunity to work on cutting-edge AI/ML projects with real-world impact.
• Collaborative and inclusive work environment with opportunities for professional growth and development.
• Flexible work arrangements and remote work options.
• Access to state-of-the-art tools, resources, and computing infrastructure.

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