Machine Learning Engineering Manager - Identity Verification

SEON is the command center for fraud prevention and AML compliance, helping thousands of companies worldwide stop fraud, reduce risk and protect revenue. Powered by 900+ real-time, first‑party data signals, SEON enriches customer profiles, flags suspicious behavior and streamlines compliance workflows - all from one place. SEON provides richer data, more flexible and transparent analysis, and faster time to value than any other provider on the market.

We’ve helped companies reduce fraud by 95% and achieve 32x ROI, and we’re growing fast, thanks to our partnerships with some of the world’s most ambitious digital brands like Revolut, Wise, and Bilt.

As an Engineering Manager for our Identity Verification ML team, you will lead two highly skilled skillsets in a single cross‑functional team:

• A Machine Learning team building state‑of‑the‑art biometric and fraud detection models such as face liveness, document liveness, injection attack detection, and deepfake detection
• A Full‑Stack Engineering team building the backend services, APIs, and frontend application layers that integrate these ML capabilities into the SEON IDV product

Your mission is to deliver production‑grade ML systems and robust application infrastructure that together power SEON’s next‑generation Identity Verification solutions. You will be accountable for technical direction, delivery excellence, team growth, and cross‑functional alignment across a highly strategic product area.

This role can be based in Europe with hybrid or remote flexibility depending on location.

• 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

• 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 & Dev Ops 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

• Prior experience in identity verification, biometrics, or presentation attack detection
• Experience with adversarial ML, deepfake detection, or spoofing countermeasures
• Experience with Computer vision technologies
• Experience deploying models to mobile or edge environments
• Familiarity with monitoring live ML systems and handling data drift

SEON Technologies collects and processes personal data in accordance with applicable data protection laws. If you are a European Job Applicant see the privacy notice for further details.

SEON is an equal opportunity employer. We strive to embrace what makes each one of us unique; we each have our own story. Whether looking at our current staff or future team members, we believe that everyone has something to contribute, and our employment practices reflect that. We do not make an employment decision based upon race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Please let your recruiter know if you need reasonable adjustments to our recruitment process.