A growth-stage agentic risk platform dedicated to stopping financial crime.

Machine Learning Engineer

RemoteRemote$175K - $220K5 - 8 years
You are an engineer who sees fraud detection as a high-stakes contest of speed and intelligence, not just a data problem. In this role, you will build and deploy adaptive models that identify sophisticated threats in real-time across the global financial ecosystem. Your work directly protects billions in transactions by leveraging agentic AI to stay ahead of evolving criminal tactics.

What they're looking for

  • 5 to 8 years of experience shipping production ML systems using Python, Go, and PyTorch.
  • Deep expertise in designing low-latency inference pipelines within Kubernetes and Docker environments.
  • Proven track record of applying Scikit-learn and deep learning techniques to cybersecurity or fintech challenges.
  • Strong command of CI/CD practices to ensure reliable model deployment and monitoring at scale.

Tech stack

GoPythonPyTorchScikit-learnDockerKubernetesK8sCI

Apply for this role

This role is one we're recruiting for on behalf of a client company; the client's identity is kept confidential at this stage. A Fluency recruiter will follow up with details.