CricViz
Description
https://ellipsedata.com/jobs/machine-learning-engineer/
About summary
CricViz has established itself as the market leader in the collection, analysis and dissemination of data across the world’s leading cricket competitions. CricViz has the largest and most sophisticated database in world cricket. This creates unique opportunities for the company to become the world leader in cricket insight and analysis. Our work spans several verticals, including Performance Analysis, Broadcast and Media, and Fantasy and Gaming platforms. As CricViz continues to grow, we are looking to scale rapidly to capitalize on our vast potential.
Job description
CricViz is looking for a Machine Learning Engineer to help build and operate the high-performance ML systems behind our industry-leading cricket intelligence products — including WinViz, PitchViz, Player Impact, and more. You’ll work at the intersection of data engineering, MLOps, and applied sports analytics, turning analytical Python workflows into scalable, production-ready pipelines. The role is embedded within the Data Science team, working closely with data scientists to translate analytical work into production-ready systems. This is a chance to apply your expertise to a world-class sports product that impacts how broadcasters, teams, and fans understand the game.
Responsibilities
- Build and maintain robust, scalable ETL pipelines for batch and real-time cricket data.
- Orchestrate workflows using tools like Dagster and Celery.
- Support the full ML model lifecycle — data preparation, feature generation, model execution, evaluation, and deployment.
- Contribute to the design and implementation of feature engineering pipelines across products like WinViz, PitchViz, and Impact.
- Implement observability, logging, monitoring, and retry logic to ensure reliability.
- Participate in model evaluation and backtesting to ensure reliability before deployment.
- Modernize and refactor legacy processes for maintainability and performance.
- Contribute to shared infrastructure such as schema standards, deployment templates, and tooling.
Requirements
- Degree in Computer Science, Engineering, or a related technical field.
- 3+ years in ML Engineering, Software Engineering, or Data Science.
- Strong Python (pandas/numpy) and Git experience.
- Familiarity with workflow orchestration (Dagster, Airflow, Prefect).
- Experience with messaging/queuing systems (Celery, Kafka, RabbitMQ).
- Understanding of the ML lifecycle and MLOps concepts.
- Experience with Docker; cloud experience (AWS/GCP).
- Strong problem-solving skills and ability to build reliable, maintainable pipelines.
- Great communication and documentation habits.
- Interest in sports analytics (particularly cricket).
Equality & diversity
CricViz is committed to building an open and inclusive culture that supports personal development and learning. Ellipse believes in the principle of equal opportunity in employment and its employment policies for recruitment, training, development and promotion despite any differences based on individual grounds of race, colour, nationality, religion or belief, sex, sexual orientation, marital status, age, ethnic and national origin, disability or gender reassignment.
Benefits
- 25 days’ holiday plus bank holidays
- Hybrid/ remote role
- Company life insurance
Why You Should Join CricViz
- Join the world’s leading cricket data company with the most sophisticated database in cricket, serving major broadcast & media partners including Sky, BBC, and Sony; major cricketing boards and teams in leagues such as the IPL
- Your work will reach millions of cricket fans worldwide through major international broadcasters, cricket boards, and fantasy platforms
- Be part of our growth in the Indian market and other new opportunities in the world of cricket
- Join a fast-paced, supportive team of cricket fans who value helping each other out
- Regular company-funded social events to build relationships with colleagues
About Ellipse
CricViz is part of Ellipse, a leading sports data and analytics company comprising CricViz, FootballViz, Horse Racing, RugbyViz (Oval and Stuart Farmer Media Services), and TennisViz. Working with the world’s biggest broadcasters, professional teams, and rights holders, we simplify complex data to engage a broad and diverse audience and tell better stories about the sports we love.