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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, you'll 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
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.
What You'll 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 We're 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 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...
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