About the Hiring Process

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 theres a strong match well guide you through the process. If not we wont ignore you.

About the Company

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.

As one of the first engineering hires youll help shape both the product and the machine learning infrastructure from the ground up.

• Location: Europe (Remote)
• Employment Type: Full-time
• Level: Mid-Senior Level
• Compensation: Competitive Salary Equity (Share Options)
• Work Authorization: Existing UK work authorization required

About the Role

Were 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. Youll 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 wed love to hear from you.

What Youll Do

Machine Learning Engineering;

• 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

What Were Looking For

Must Have;

• 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

Nice to Have;

• 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

What We Offer

• 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 todays most important global challenges

If youre excited about building production machine learning systems that make a real-world impact wed love to hear from you...