MLOps Engineer (AI)

TL;DR

MLOps Engineer (AI): Design, build, and maintain a scalable and reliable ML platform to deploy AI models that impact millions of players in real-time with an accent on high-performance infrastructure and data processing. Focus on ensuring models move seamlessly from research to production and enabling key projects like LTV and Ads Optimization.

Location: Hybrid in London, UK (3 days a week in office). 20 days fully remote working from anywhere in the world allowed annually.

Company

hirify.global is a multi-award-winning independent mobile games company building a portfolio of popular titles for over 25 million daily active users.

What you will do

• Design, build, and maintain a scalable and reliable ML platform for AI/ML initiatives.
• Collaborate with data scientists, ML engineers, analysts, and game developers to translate data needs into infrastructure solutions.
• Manage distributed clusters and auto-scaling inference endpoints for large data volumes.
• Implement comprehensive monitoring systems for model drift and latency.
• Enable real-time and batch data processing for AI use cases like player segmentation and churn prediction.
• Advocate for engineering best practices, including CI/CD, version control, testing, and observability.

Requirements

• 4+ years of experience as an MLOps Engineer or similar role, ideally in gaming, mobile apps, or digital products.
• Experience with implementation and management of ML platforms (e.g., Kubeflow, Vertex Pipelines, or Sagemaker).
• Experience with model registries, such as MLflow, for tracking A/B experiments and MAB frameworks.
• Experience optimizing models for low-latency real-time serving and batch predictions on large datasets.

Culture & Benefits

• 25 days paid holiday + bank holidays.
• Hybrid working model (3 days in office, Tuesdays/Wednesdays fixed).
• Daily free lunch allowance (£12 for JustEat in office).
• Regular company events and rewards.
• Employee Assistance Program, Family Forming Support, Life Assurance & Group Income Cover.
• Continuous Professional Development, Private Medical Cover & Health Cash Plan, Dental Cover, Cycle to Work Scheme, Pension Plan.

Hiring process

• Stage 1: Talent Acquisition Interview
• Stage 2: Manager Interview
• Stage 3: Director Interview
• Stage 4: Interview
• Stage 5: Final Interview
• Stage 6: Hired