Senior Machine Learning Engineer

WhyHireWrong?


Job Location:

London - UK

Yearly Salary: m 85000 - 105000
Posted on: 23 hours ago
Vacancies: 1 Vacancy

Job Summary

We build AI systems that detect and respond to disinformation attacks in real time. Our platform combines machine learning with proprietary knowledge of attack and defense techniques. The founding team has 40 years of combined experience building data systems for national security and commercial organizations.

The Role

Youll build and deploy production ML systems that detect disinformation as it happens. This role covers the full ML lifecyclefrom model development through deployment and monitoring. Youll work with engineers and intelligence analysts to shape both the product and infrastructure.

Your Responsibilities

  • Build ML models for real-time disinformation detection

  • Deploy and monitor models in production environments

  • Manage data pipelines using streaming and batch processing frameworks

  • Make architectural decisions on databases infrastructure and system design

  • Collaborate across engineering ML and intelligence teams

Requirements

  • Production ML experienceyouve deployed ML systems that run in production

  • Strong Python skills and clean coding practices

  • Experience with CI/CD pipelines and containerization (Docker)

  • Working knowledge of SQL databases and NoSQL stores

  • Hands-on experience with data processing frameworks

  • Deep learning knowledge

  • Understanding of system trade-offs (latency vs accuracy cost vs performance)

Tech Stack

Python SQL & NoSQL databases streaming & batch processing frameworks Docker CI/CD pipelines cloud infrastructure

Compensation & Benefits

  • Early employee equity (share options)

  • 25 days holiday plus your birthday off

  • Private pension contributions

  • Remote-first with flexible working

We build AI systems that detect and respond to disinformation attacks in real time. Our platform combines machine learning with proprietary knowledge of attack and defense techniques. The founding team has 40 years of combined experience building data systems for national security and commercial org...