Senior Machine Learning Engineer

1 month ago


London, Greater London, United Kingdom EFG Full time
About the Role

We're seeking a seasoned Senior Machine Learning Engineer to join our ML Ops Team at EFG. As a key member of our data platform, you'll be responsible for designing, building, and evolving a world-class ML Ops platform that empowers our Data Scientists and delivers value to our Business teams.

Key Responsibilities
  • Partner with stakeholders to foster the adoption of our data platform;
  • Set high standards across documentation, testing, resiliency, monitoring, and code quality;
  • Drive towards efficiencies and simplify code, infrastructure, and data models across the platform;
  • Excel as a Senior Engineer;
  • Write well-rounded, reusable, and documented code that captures the essential nature of the solution;
  • Construct complex architectures tying multiple services and SaaS tooling together, leveraging a strong understanding of a cloud-based stack (AWS, GCP);
  • Be a heart-first, people-first tech lead everyone wants to be around.
Requirements
  • You've participated in shaping the architecture of a mature ML Ops solution and provided quantifiable business value;
  • You've run PoCs, planned large migrations of data and code, and participated in planning a roadmap multiple times before;
  • You have hands-on experience supporting the infrastructure required for an efficient ML workflow, from initial conception to development (DVC, Mlflow, etc.) to deployment (KServe, BentoML, TFX, etc.);
  • You have hands-on experience in building resilient batch (Airflow, Fivetran) and streaming (Kafka, Kinesis, Dataflow) data pipelines at scale (> 1 TB/day);
  • You preach operational procedures from data and infrastructure observability (Prometheus), alerting, and incident management (PagerDuty, incident.li);
  • You are fluent in one or more high-level programming languages (Python, Scala);
  • You have interacted with a large community of stakeholders before;
  • You're up-to-date on new trends in data – you know who's using what to solve various problems and are excited for the next release of your favorite tool;
  • Past experience in the Esports/Gaming/Betting/Events industry would be a great asset.


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