Staff AI/ML Engineer: MLOps & LLMs at Scale

Checkout

Greater London

Hybrid

GBP 120,000 - 170,000

Full time

14 days+
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Benefits offered by this job

Hybrid working model

Job summary

Checkout.com is hiring a Staff Level AI/ML engineer to accelerate our AI era. You will join the Data and AI platform team, pioneering real-world AI/ML solutions, collaborating across teams to turn vision into scalable outcomes.

You’ll design MLOps components, build end-to-end pipelines, and ensure secure, compliant deployments on cloud platforms, with a focus on innovation and impact.

Qualifications

  • Proficiency in Python and AI toolkits (e.g., PyTorch, Hugging Face Transformers).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Strong engineering skills: services, data models, and features.
  • Experience applying AI/ML models to real-world problems and prototypes.
  • Familiarity with distributed systems and large-scale data processing.

Responsibilities

  • Collaborate to research, scope, and validate AI use cases that drive value.
  • Drive AI adoption with rigorous evaluation and scalable deployments.
  • Design and build the MLOps component of the platform (vector databases, feature stores, model serving).
  • Implement CI/CD pipelines and enforce best practices for deployment, security, and compliance.
  • Contribute to the AI/ML guild and advocate new approaches and use cases.
  • Monitor and optimise system performance for scalability and efficiency.

Skills

Python
AI/ML concepts
Problem solving
Cross-team collaboration
Communication

Tools

Docker
Kubernetes
AWS
GCP
Azure
BigQuery
Databricks

Job description

Checkout.com is hiring a Staff Level AI/ML engineer to accelerate our AI era. You will join the Data and AI platform team, pioneering real-world AI/ML solutions, collaborating across teams to turn vision into scalable outcomes.

You’ll design MLOps components, build end-to-end pipelines, and ensure secure, compliant deployments on cloud platforms, with a focus on innovation and impact.

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