Staff AI/ML Engineer — Hybrid, Scalable AI Platforms

Checkout.com; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Office snacks and meals

Job summary

Checkout.com is seeking a Staff Level AI/ML engineer to accelerate our AI era, shaping AI vision and delivering practical solutions at scale on our payments platform.

You will collaborate across teams to research and validate AI use cases, design MLOps components, and drive production-ready AI with governance and security considerations in a fast-paced fintech environment. The hybrid model supports collaboration and growth.

Qualifications

• Proficiency in Python with experience in AI toolkits.
• Experience with PyTorch, Pandas, or Hugging Face Transformers.
• Cloud computing and containerization proficiency.
• Strong problem-solving and cross-team communication.

Responsibilities

• Collaborate with teams to research, scope, and validate use cases for AI that drive business value and innovation.
• Drive AI adoption by combining rigorous scientific evaluation with the operational maturity to champion high-value applications and confidently push back on unsuitable AI use cases.
• Design, refine and build MLOps component of the data and AI platform, from Vector Databases through feature storage and model serving, all at the millisecond scale.
• Implement CI/CD pipelines and ensure adherence to best practices for model deployment, security, and compliance with global regulations.
• Work as part of our AI / ML guild; having a voice and being a driving force behind new approaches and use cases.
• Continuously monitor and optimise system performance to ensure scalability, security, and operational efficiency.

Skills

Python

PyTorch

Pandas

Hugging Face Transformers

Cloud platforms

Docker

Kubernetes

BigQuery

Databricks

LLMs

Tools

Docker

Kubernetes

AWS

GCP

Azure

BigQuery

Databricks

Bedrock

Sagemaker

VertexAI

Job description

Checkout.com is seeking a Staff Level AI/ML engineer to accelerate our AI era, shaping AI vision and delivering practical solutions at scale on our payments platform.

You will collaborate across teams to research and validate AI use cases, design MLOps components, and drive production-ready AI with governance and security considerations in a fast-paced fintech environment. The hybrid model supports collaboration and growth.