Lead ML Engineering at Track Titan, shaping AI coaching for motorsport with hands - on development in London or remote. Focus on building ML capabilities from a unique dataset.
About the role
- Machine Learning Engineer at Junglee Games focusing on data science, Applied ML, and model production. Leverage expertise in Python, SQL, and PySpark for innovative gaming solutions.
Responsibilities
- Build, train, and optimise Classical ML, Deep learning and Transformer-based models.
- Perform EDA, feature engineering, and model evaluation on large datasets.
- Use PySpark for large-scale data processing and feature computation.
- Productionize models using Databricks (MLflow, Model Registry, Model Serving).
- Implement batch and real-time inference workflows.
- Deploy and operate models on AWS-based environments.
- Monitor model performance and data drift in production.
- Collaborate with data engineering and platform teams.
Requirements
- 3–5 years of experience in Data Science / Applied ML
- Strong Python and SQL
- Solid understanding of ML algorithms and deep learning fundamentals.
- Hands-on experience with PySpark.
- Proven exposure to production ML systems.
- Experience with Databricks Feature Store (Good to Have)
- Docker / Kubernetes basics (Good to Have)
Benefits
- Value Customers & Data - Prioritize customers, use data-driven decisions, master KPIs, and leverage ideation and A/B testing to drive impactful outcomes.
- Inspire Extreme Ownership - We embrace ownership, collaborate effectively, and take pride in every detail to ensure every game becomes a smashing success.
- Lead with Love - We reject micromanagement and fear, fostering open dialogue, mutual growth, and a fearless yet responsible work ethic.
- Embrace Change - Change drives progress, and our strength lies in adapting swiftly and recognizing when to evolve to stay ahead.
- Play the Big Game - We think big, challenge norms, and innovate boldly, driving impactful results through fresh ideas and inventive problem-solving.
Job title
Job type
Experience level
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Not specified
Degree requirement
No Education Requirement
Tech skills
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