Machine Learning Engineer / MLOps Engineer at Bet365
About the role
hackajob is collaborating with Bet365 to connect them with exceptional professionals for this role. We are seeking a highly pragmatic, results-driven Machine Learning (ML) Engineer to join our newly established US Data team. In this role, you will build the reliable, automated infrastructure that powers our machine learning lifecycle. Your primary mission is to operationalize and scale the models developed by our data science team, taking them from prototype to robust, production-grade systems …
Interview process at Bet365
General interview process (this company's specific loop isn't published - reach out if you have insider info).
- Recruiter phone screen - typically 20-40 min
- Technical screen - 1 coding problem or take-home; format varies by company
- Onsite / virtual loop - typically 4-6 rounds over 2-3 weeks; exact split of coding, systems design, and behavioral varies by role and location
Platforms used: unknown — MiPrep tested compatible with major platforms
How to prepare
MiPrep helps you rehearse the specific cadence and question types Bet365 interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.