Senior Machine Learning Engineer

We're looking for a Senior Machine Learning Engineer (Production AI Systems) to build, deploy, and operate production-grade machine learning systems that detect and counter disinformation at scale.

This is a hands-on engineering role spanning the entire ML lifecycle, from data pipelines and model development through deployment, monitoring, and continuous optimisation. You'll work closely with software engineers, ML engineers, and intelligence specialists to deliver reliable AI systems used in real-world environments.

If you enjoy building production AI systems, taking ownership, and solving challenging engineering problems, we'd love to hear from you., * Build and deploy production-ready machine learning systems

• Design, train, evaluate, and optimise ML models
• Continuously monitor and improve model performance
• Own the complete ML lifecycle from development to production

Data & Infrastructure;

• Build scalable batch and streaming data pipelines
• Work with SQL and NoSQL databases
• Develop containerised ML services using Docker
• Improve CI/CD pipelines and deployment workflows

Engineering & Collaboration;

• Design reliable, scalable ML infrastructure
• Work across software engineering, ML, and intelligence teams
• Optimise systems for performance, scalability, and reliability
• Balance latency, accuracy, and infrastructure costs

• Proven experience building production machine learning systems

• Strong Python engineering skills

• End-to-end ML lifecycle experience

• Experience with SQL and NoSQL databases

• Experience with streaming and batch data processing

• Docker and containerisation experience

• Hands-on CI/CD experience

• Strong software engineering fundamentals

• Excellent problem-solving and systems thinking

• High ownership and ability to work independently

• Existing UK work authorization

• Startup or early-stage company experience

• Experience building AI products from concept to production

• Cloud platform experience (AWS, Azure, or GCP)

• Experience with large-scale distributed ML systems

• Personal ML or open-source projects

• Experience in cybersecurity, misinformation detection, or intelligence systems

• Competitive salary
• Early-stage equity (Share Options)
• Fully remote working across Europe
• Flexible, outcomes-driven culture
• 25 days annual leave plus your birthday off
• Private pension contributions
• High ownership from day one
• Opportunity to build AI systems tackling one of today's most important global challenges

If you're excited about building production machine learning systems that make a real-world impact, we'd love to hear from you...

When you apply, our AI-powered matching platform considers you not only for this opportunity, but also for other relevant roles across our network, so one application can unlock multiple career opportunities. We only work with real companies hiring for live positions. Every opportunity on our platform is an active search. If there's a strong match, we'll guide you through the process. If not, we won't ignore you., Our client is an early-stage AI company building machine learning systems that detect and respond to disinformation attacks in real time. Their platform combines advanced machine learning, proprietary intelligence, and large-scale data processing to help organisations identify and counter emerging threats before they spread.