Senior Machine Learning Engineer (+ Equity) at early-stage AI security platform

This is a role that TechTree is recruiting for on behalf of one of our clients.

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About The Role

Join as a Senior Machine Learning Engineer to build production ML systems for detecting disinformation, working with a cross-functional team in a high-ownership role.

You’ll be building and operating production-grade machine learning systems that detect and counter disinformation as it happens. This is a high-ownership role where you’ll work across the full ML lifecycle — from model development to deployment and monitoring.

What You'll Be Doing

• Build and operate production-grade machine learning systems
• Collaborate with a cross-functional team spanning engineering, machine learning, and intelligence backgrounds
• Shape both the product and the underlying ML infrastructure
• Focus on real-world systems that are reliable, scalable, and fast
  
  

What We're Looking For

• Experience building and deploying machine learning systems in production environments
• Strong engineering fundamentals with clean, modular, maintainable code
• End-to-end ownership from data and models to deployment, monitoring, and iteration
• Algorithmic versatility across ML approaches
• Solid understanding of both relational and non-relational databases
• Hands-on experience with containerisation, CI/CD, and production environments
  
  

Compensation & Benefits

• £130,000 – £150,000 salary
• 0.25–0.5% early-stage share options
• 25 days holiday + your birthday off
• Private pension contributions
• Remote-first with flexible working and an outcomes-driven culture
• High ownership from day one
  
  

About The Company

We’re building AI systems to help organisations detect and respond to disinformation attacks in real time. Our platform combines machine learning, proprietary knowledge of attack and defence techniques, and experience building large-scale, high-throughput data analysis systems.

The founding team brings over forty years of combined experience creating data systems used by national security and commercial organisations. After strong early traction, we’re now accelerating the build-out of the platform.

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