Machine Learning Engineering Manager – Identity Verification
SEON
full-time
Posted on:
Location Type: Remote
Location: Anywhere in Europe
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About the role
- Define and execute the technical vision for SEON’s Identity Verification systems across ML models and full-stack application layers
- Lead end-to-end delivery of high-impact initiatives, from model development to backend services and frontend integration
- Guide architecture and best practices to ensure scalability, reliability, performance, and security
- Drive production excellence in ML, including monitoring, validation, and lifecycle management
- Foster strong collaboration across Engineering, Product, Design, and Customer Success
- Build a high-performance culture through coaching, hiring, and continuous team development
Requirements
- 3+ years of experience managing engineering teams and delivering complex software products
- Strong understanding of production ML systems, ideally in computer vision, biometrics, or fraud detection
- Experience owning the full ML lifecycle, from data and training to deployment and monitoring
- Solid background in SaaS or distributed systems, including backend APIs and modern frontend frameworks
- Familiarity with cloud infrastructure, containerization, and CI/CD practices
- Strong architectural thinking, communication skills, and a data-driven problem-solving mindset
- Cloud & DevOps Savvy: Solid experience with containerization (Docker), orchestration (Kubernetes), and cloud providers (AWS preferred, including experience with infrastructure as code tools like Terraform).
- Agile & Adaptability: Proven ability to thrive in a fast-paced, Agile development environment, demonstrating strong adaptability and problem-solving skills for ambiguous and complex challenges.
- Strategic Thinking: Demonstrated ability to think strategically, design, and implement end-to-end solutions that align with business objectives and technical vision.
- Communication: Excellent English communication skills, both written and verbal, with the ability to articulate complex technical concepts to diverse audiences and influence stakeholders at all levels.
- Problem-Solving: Outstanding analytical and problem-solving skills, with a focus on root cause analysis and proactive solution recommendation.
Benefits
- Flexible work arrangements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningcomputer visionbiometricsfraud detectionSaaSdistributed systemsbackend APIsfrontend frameworksdata lifecycle managementproduction ML systems
Soft Skills
leadershipcommunicationproblem-solvingstrategic thinkingcollaborationadaptabilitycoachingteam developmentanalytical skillsdata-driven mindset