Senior Engineering Manager

About Us
Happening
is the technology engine powering Superbet Group's global platforms and brands that bring thrill to customers across the world every day. We are a game-changing tech company rewriting the rules of sports betting and gaming. We are shaking up the status quo by building our own end-to-end tech stack, solving deep and complex challenges for millions of customers and shaping our culture to work uniquely for the tech community. A true challenger, our technology handles serious scale on par with the Big Techs, and customer obsession runs through every team. Building our own platform gives us freedom to innovate and flip the legacy perceptions and industry stereotypes.

About The Role
We're looking for a hands-on and motivated
Engineering Manager
for
Applied Machine Learning & Research
to support the development and delivery of machine learning systems at
Happening
. 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 team transforms complex data into actionable insights that enhance customer engagement, trust, and satisfaction. By leveraging machine learning to create smarter systems and deeper customer understanding, the team 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.

In this role, you'll split your time between technical contribution, project coordination, and people management — helping your team succeed while staying close to the code.

We're looking for someone who has:

• Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field

Proven experience (4+ years) in machine learning and data science roles

Proven experience (2+ years) leading/managing engineering teams, supporting the growth and performance of engineers

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)

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

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 you'll be doing:

• 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

Project Management:
Manage and prioritise machine learning 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

People Management:
Lead and mentor a team of 4-5 talented data scientists and ML engineers, providing guidance and support in their day-to-day activities

Oversee the execution, development, growth and performance of the ML team

Foster a collaborative and innovative team environment while building strong partnerships with product management and stakeholders