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Senior Machine Learning Engineer
WhyHireWrong?Senior Machine Learning Engineer building real-time AI to detect disinformation. Own production ML from model to deployment, collaborating with engineers and analysts.
Tech Stack
Tools & technologiesDockerNoSQLPythonSQL
About the role
Key responsibilities & impact- 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
What you’ll need- Production ML experience—you've 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)
Benefits
Comp & perks- Early employee equity (share options)
- 25 days holiday plus your birthday off
- Private pension contributions
- Remote-first with flexible working
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningPythonclean coding practicesCI/CD pipelinescontainerizationDockerSQL databasesNoSQL storesdata processing frameworksdeep learning
Soft Skills
collaborationarchitectural decision-making