Machine Learning Engineer

Machine Learning Engineer

Remote (US, Canada & Europe)

We're partnering with one of the world's fastest-growing gaming technology companies, building machine learning systems that power some of the largest live gaming experiences anywhere.

This is an opportunity to join a highly entrepreneurial engineering team where you'll become the Machine Learning expert, developing production ML systems that drive business decisions, optimize player experiences, and influence games enjoyed by millions of users every month.

Rather than working on isolated proof-of-concepts, you'll own models from concept through deployment, helping shape the future of Machine Learning within a rapidly scaling technology business.

The Opportunity

As the company's dedicated Machine Learning Engineer, you'll work closely with engineering leadership to build scalable predictive models and production ML infrastructure that supports analytics, forecasting, and business intelligence across the organization.

You'll have significant ownership from day one, with the opportunity to grow into a technical leadership position as the ML function expands.

What You'll Be Doing

• Design, build and deploy production Machine Learning models
• Develop predictive models around player behaviour, engagement and game performance
• Own the full ML lifecycle, including feature engineering, training, tuning, deployment and retraining
• Build scalable ML pipelines using Python and AWS
• Work closely with engineers to improve existing ML infrastructure
• Research and evaluate new modelling approaches to improve prediction accuracy
• Help shape the long-term Machine Learning strategy for the business

We're Looking For

• 3+ years building and deploying production Machine Learning models
• Strong Python experience
• Experience with supervised learning models
• Hands-on experience with XGBoost and/or LightGBM
• Strong SQL and statistical analysis skills
• Experience deploying ML workloads in AWS
• Docker and containerized development experience
• Ability to operate independently in a fast-moving engineering environment

Nice to Have

• Gaming or consumer analytics experience
• ClickHouse or other OLAP databases
• TypeScript
• Optuna or other hyperparameter optimization frameworks
• Experience working with large-scale behavioural or product datasets

Why Join?

• Join one of the fastest-growing technology businesses in gaming
• Become the company's Machine Learning subject matter expert
• Work on products used by millions of players worldwide
• High ownership and direct impact on business decisions
• Fully remote working
• Clear pathway into future technical leadership
• Competitive compensation package

If you're passionate about applying Machine Learning at scale and want to build systems that influence products used by millions of users, I'd love to hear from you.

Featured Benefits

Medical Insurance

Vision Insurance

Dental Insurance

401(k)