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Machine Learning Engineering Manager (Face Intelligence) Careers at Veriff - Tallinn, Estonia & Madrid, Spain (Remote) | Apply Now!

Veriff

Machine Learning Engineering Manager (Face Intelligence) Careers at Veriff - Tallinn, Estonia & Madrid, Spain (Remote) | Apply Now!

full-timePosted: Feb 2, 2026

Job Description

Machine Learning Engineering Manager (Face Intelligence) at Veriff

Role Overview

Veriff is revolutionizing digital trust as the foundational layer of the internet, and our Face Intelligence team powers the core of our identity verification platform. We're seeking an exceptional Machine Learning Engineering Manager to lead our biometric ML efforts in Tallinn, Spain (remote-friendly). This senior leadership role focuses on building state-of-the-art face biometrics, liveness detection, and anti-spoofing systems that scale to millions of global verifications daily.

In this position, you'll manage a team of elite data scientists and ML engineers owning the complete lifecycle of production biometric models—from cutting-edge research and training to deployment, monitoring, and relentless iteration against evolving threats like deepfakes and synthetic identities. Your work directly enhances authentication accuracy, combats fraud, and builds user trust worldwide.

Collaborating with Product, ML Platform, Fraud Prevention, and Legal teams, you'll ensure our models deliver unmatched accuracy, reliability, privacy compliance, and threat resilience. If you thrive at the intersection of machine learning leadership, computer vision innovation, and real-world impact, this is your opportunity to shape the future of digital identity at Veriff.

Key Responsibilities

As Machine Learning Engineering Manager, you'll drive technical excellence and team success through these core responsibilities:

  • Lead and scale a high-impact team of data scientists and ML engineers specializing in face biometrics and liveness detection.
  • Architect team structure, implement research-to-production workflows, and establish clear ownership with KPIs.
  • Own end-to-end biometric ML delivery: data pipelines, model training, evaluation frameworks, deployment, and production monitoring.
  • Champion development of SOTA face recognition, liveness, and anti-spoofing models emphasizing robustness and fairness.
  • Translate business challenges in verification, authentication, and fraud into precise ML objectives, metrics, and roadmaps.
  • Partner with ML Platform for optimized training infrastructure, scalable inference, observability, and drift detection.
  • Integrate GDPR, eIDAS, and responsible AI principles throughout model design, training, and evaluation processes.
  • Foster a culture of scientific rigor, rapid experimentation, cross-team collaboration, and flawless execution.
  • Proactively counter emerging threats including deepfakes, replay attacks, and generative AI-based identity fraud.
  • Mentor senior talent, accelerating their technical expertise and leadership capabilities.
  • Monitor live model performance, diagnose issues, and orchestrate continuous improvement cycles.
  • Shape Veriff's biometric strategy, influencing long-term R&D investments and technology direction.
  • Lead hiring efforts to attract world-class ML talent to the Face Intelligence team.

Qualifications

The ideal candidate brings deep expertise and leadership in applied ML. You excel if you have:

  • 8+ years in machine learning/computer vision with 3+ years managing ML teams.
  • Proven success delivering production biometric systems at global scale.
  • Expertise in face recognition, liveness detection, deepfake mitigation, and anti-spoofing.
  • End-to-end ML ownership experience including MLOps, CI/CD for models, and monitoring.
  • Strong Python, PyTorch/TensorFlow, and cloud ML platforms proficiency.
  • Deep knowledge of biometric regulations and privacy frameworks.
  • Track record building and scaling high-performing data science organizations.
  • MS/PhD in CS, ML, or equivalent with publications in top CV/ML conferences preferred.

Salary & Benefits

Salary Range: $140,000 - $200,000 USD base (competitive total compensation including equity).

Veriff offers industry-leading benefits:

  • Performance bonuses and stock options in a unicorn company.
  • Remote-first flexibility with Tallinn/Madrid office options.
  • 30+ days PTO, comprehensive health coverage, parental leave.
  • Professional growth budget, wellness programs, home office stipend.
  • Team retreats, learning platforms, and employee assistance programs.

Why Join Veriff?

Veriff protects millions online by powering identity verification for the world's leading brands. Our Face Intelligence team solves humanity's toughest challenges in digital trust amid rising AI threats. Join a mission-driven culture where your ML leadership creates global impact. Work with top talent, access cutting-edge resources, and shape the future of biometrics in a remote-friendly environment.

How to Apply

Ready to lead biometric ML innovation? Submit your resume, LinkedIn, and a note on your most impactful ML project. We review applications continuously—top candidates hear back within 48 hours. Veriff is an equal opportunity employer committed to diversity.

Locations

  • Tallinn, Estonia
  • Madrid, Spain
  • Remote, Worldwide (Remote)

Salary

Estimated Salary Rangehigh confidence

147,000 - 220,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Machine Learning Leadershipintermediate
  • Computer Visionintermediate
  • Face Biometricsintermediate
  • Liveness Detectionintermediate
  • Deep Learning Modelsintermediate
  • Anti-Spoofing Techniquesintermediate
  • Fraud Detectionintermediate
  • Data Science Managementintermediate
  • Model Deploymentintermediate
  • Python Programmingintermediate
  • TensorFlowintermediate
  • PyTorchintermediate
  • Scalable ML Pipelinesintermediate
  • Regulatory Complianceintermediate
  • Responsible AIintermediate
  • Team Mentoringintermediate
  • Production ML Systemsintermediate
  • Model Monitoringintermediate
  • Deepfake Detectionintermediate
  • Biometric Authenticationintermediate

Required Qualifications

  • Strong technical leadership in machine learning, computer vision, and data science with 8+ years of experience (experience)
  • Proven track record managing high-performing ML engineering and data science teams (experience)
  • Deep expertise in face recognition, liveness detection, and anti-spoofing model development (experience)
  • Experience owning end-to-end ML lifecycle from research to production deployment (experience)
  • Hands-on experience with scalable ML training pipelines and inference systems (experience)
  • Strong understanding of biometric privacy regulations (GDPR, CCPA, eIDAS) (experience)
  • Demonstrated ability to combat emerging threats like deepfakes and synthetic identities (experience)
  • Excellent cross-functional collaboration with Product, Fraud, and Platform teams (experience)
  • Proficiency in Python, TensorFlow/PyTorch, and cloud ML platforms (AWS SageMaker, GCP Vertex AI) (experience)
  • Experience building team structures and cultures focused on scientific rigor and execution (experience)
  • Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field preferred (experience)
  • Track record of mentoring senior ML engineers and driving technical leadership development (experience)

Responsibilities

  • Lead, grow, and develop a high-performing team of data scientists and ML engineers focused on face biometrics
  • Define team structure, research-to-production practices, ownership models, and measurable outcomes
  • Own end-to-end delivery of biometric ML systems including data strategy, training, evaluation, and deployment
  • Drive development of state-of-the-art face recognition, liveness, and anti-spoofing models
  • Ensure model robustness, generalization, and fairness across global demographics and geographies
  • Partner with Product, Authentication, Identity, and Fraud teams to define ML objectives and roadmaps
  • Collaborate with ML Platform teams on efficient training pipelines, scalable inference, and monitoring
  • Embed regulatory compliance, data privacy, and responsible AI practices into model development
  • Build team culture emphasizing scientific rigor, experimentation, collaboration, and execution
  • Anticipate and defend against emerging threats like deepfakes, replay attacks, and generative AI fraud
  • Mentor senior data scientists and ML engineers in technical growth and leadership development
  • Monitor production model performance, detect drift, and drive continuous improvement iterations
  • Contribute to Veriff's long-term biometric strategy and technology roadmap
  • Conduct technical interviews and hire top talent to scale the Face Intelligence team

Benefits

  • general: Competitive salary range with performance-based bonuses
  • general: Stock options in a fast-growing identity verification unicorn
  • general: Fully remote work flexibility across Europe
  • general: Comprehensive health insurance coverage
  • general: Generous paid time off (30+ days annually)
  • general: Parental leave policies supporting work-life balance
  • general: Professional development budget for conferences and courses
  • general: Mental health and wellness programs
  • general: Home office setup allowance
  • general: Company-sponsored team retreats and offsites
  • general: Fitness and gym membership reimbursements
  • general: Learning platforms access (Coursera, Udacity, O'Reilly)
  • general: Volunteer time off for meaningful causes
  • general: Employee assistance programs
  • general: Relocation support for Tallinn or Madrid offices

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machine learning engineering manager jobsface biometrics engineer Veriffliveness detection ML careersdeepfake detection jobs TallinnML engineering manager remote Europecomputer vision leadership rolesbiometric ML manager Spainfraud prevention ML engineerproduction ML systems managerresponsible AI leadership jobsface recognition model deploymentanti-spoofing ML careersVeriff machine learning jobssenior ML manager remoteidentity verification ML rolesdata science manager biometricsMLOps engineering managerglobal scale ML leadershipTallinn tech jobs MLMadrid remote ML managergenerative AI fraud defense jobsEngineering

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Veriff logo

Machine Learning Engineering Manager (Face Intelligence) Careers at Veriff - Tallinn, Estonia & Madrid, Spain (Remote) | Apply Now!

Veriff

Machine Learning Engineering Manager (Face Intelligence) Careers at Veriff - Tallinn, Estonia & Madrid, Spain (Remote) | Apply Now!

full-timePosted: Feb 2, 2026

Job Description

Machine Learning Engineering Manager (Face Intelligence) at Veriff

Role Overview

Veriff is revolutionizing digital trust as the foundational layer of the internet, and our Face Intelligence team powers the core of our identity verification platform. We're seeking an exceptional Machine Learning Engineering Manager to lead our biometric ML efforts in Tallinn, Spain (remote-friendly). This senior leadership role focuses on building state-of-the-art face biometrics, liveness detection, and anti-spoofing systems that scale to millions of global verifications daily.

In this position, you'll manage a team of elite data scientists and ML engineers owning the complete lifecycle of production biometric models—from cutting-edge research and training to deployment, monitoring, and relentless iteration against evolving threats like deepfakes and synthetic identities. Your work directly enhances authentication accuracy, combats fraud, and builds user trust worldwide.

Collaborating with Product, ML Platform, Fraud Prevention, and Legal teams, you'll ensure our models deliver unmatched accuracy, reliability, privacy compliance, and threat resilience. If you thrive at the intersection of machine learning leadership, computer vision innovation, and real-world impact, this is your opportunity to shape the future of digital identity at Veriff.

Key Responsibilities

As Machine Learning Engineering Manager, you'll drive technical excellence and team success through these core responsibilities:

  • Lead and scale a high-impact team of data scientists and ML engineers specializing in face biometrics and liveness detection.
  • Architect team structure, implement research-to-production workflows, and establish clear ownership with KPIs.
  • Own end-to-end biometric ML delivery: data pipelines, model training, evaluation frameworks, deployment, and production monitoring.
  • Champion development of SOTA face recognition, liveness, and anti-spoofing models emphasizing robustness and fairness.
  • Translate business challenges in verification, authentication, and fraud into precise ML objectives, metrics, and roadmaps.
  • Partner with ML Platform for optimized training infrastructure, scalable inference, observability, and drift detection.
  • Integrate GDPR, eIDAS, and responsible AI principles throughout model design, training, and evaluation processes.
  • Foster a culture of scientific rigor, rapid experimentation, cross-team collaboration, and flawless execution.
  • Proactively counter emerging threats including deepfakes, replay attacks, and generative AI-based identity fraud.
  • Mentor senior talent, accelerating their technical expertise and leadership capabilities.
  • Monitor live model performance, diagnose issues, and orchestrate continuous improvement cycles.
  • Shape Veriff's biometric strategy, influencing long-term R&D investments and technology direction.
  • Lead hiring efforts to attract world-class ML talent to the Face Intelligence team.

Qualifications

The ideal candidate brings deep expertise and leadership in applied ML. You excel if you have:

  • 8+ years in machine learning/computer vision with 3+ years managing ML teams.
  • Proven success delivering production biometric systems at global scale.
  • Expertise in face recognition, liveness detection, deepfake mitigation, and anti-spoofing.
  • End-to-end ML ownership experience including MLOps, CI/CD for models, and monitoring.
  • Strong Python, PyTorch/TensorFlow, and cloud ML platforms proficiency.
  • Deep knowledge of biometric regulations and privacy frameworks.
  • Track record building and scaling high-performing data science organizations.
  • MS/PhD in CS, ML, or equivalent with publications in top CV/ML conferences preferred.

Salary & Benefits

Salary Range: $140,000 - $200,000 USD base (competitive total compensation including equity).

Veriff offers industry-leading benefits:

  • Performance bonuses and stock options in a unicorn company.
  • Remote-first flexibility with Tallinn/Madrid office options.
  • 30+ days PTO, comprehensive health coverage, parental leave.
  • Professional growth budget, wellness programs, home office stipend.
  • Team retreats, learning platforms, and employee assistance programs.

Why Join Veriff?

Veriff protects millions online by powering identity verification for the world's leading brands. Our Face Intelligence team solves humanity's toughest challenges in digital trust amid rising AI threats. Join a mission-driven culture where your ML leadership creates global impact. Work with top talent, access cutting-edge resources, and shape the future of biometrics in a remote-friendly environment.

How to Apply

Ready to lead biometric ML innovation? Submit your resume, LinkedIn, and a note on your most impactful ML project. We review applications continuously—top candidates hear back within 48 hours. Veriff is an equal opportunity employer committed to diversity.

Locations

  • Tallinn, Estonia
  • Madrid, Spain
  • Remote, Worldwide (Remote)

Salary

Estimated Salary Rangehigh confidence

147,000 - 220,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Machine Learning Leadershipintermediate
  • Computer Visionintermediate
  • Face Biometricsintermediate
  • Liveness Detectionintermediate
  • Deep Learning Modelsintermediate
  • Anti-Spoofing Techniquesintermediate
  • Fraud Detectionintermediate
  • Data Science Managementintermediate
  • Model Deploymentintermediate
  • Python Programmingintermediate
  • TensorFlowintermediate
  • PyTorchintermediate
  • Scalable ML Pipelinesintermediate
  • Regulatory Complianceintermediate
  • Responsible AIintermediate
  • Team Mentoringintermediate
  • Production ML Systemsintermediate
  • Model Monitoringintermediate
  • Deepfake Detectionintermediate
  • Biometric Authenticationintermediate

Required Qualifications

  • Strong technical leadership in machine learning, computer vision, and data science with 8+ years of experience (experience)
  • Proven track record managing high-performing ML engineering and data science teams (experience)
  • Deep expertise in face recognition, liveness detection, and anti-spoofing model development (experience)
  • Experience owning end-to-end ML lifecycle from research to production deployment (experience)
  • Hands-on experience with scalable ML training pipelines and inference systems (experience)
  • Strong understanding of biometric privacy regulations (GDPR, CCPA, eIDAS) (experience)
  • Demonstrated ability to combat emerging threats like deepfakes and synthetic identities (experience)
  • Excellent cross-functional collaboration with Product, Fraud, and Platform teams (experience)
  • Proficiency in Python, TensorFlow/PyTorch, and cloud ML platforms (AWS SageMaker, GCP Vertex AI) (experience)
  • Experience building team structures and cultures focused on scientific rigor and execution (experience)
  • Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field preferred (experience)
  • Track record of mentoring senior ML engineers and driving technical leadership development (experience)

Responsibilities

  • Lead, grow, and develop a high-performing team of data scientists and ML engineers focused on face biometrics
  • Define team structure, research-to-production practices, ownership models, and measurable outcomes
  • Own end-to-end delivery of biometric ML systems including data strategy, training, evaluation, and deployment
  • Drive development of state-of-the-art face recognition, liveness, and anti-spoofing models
  • Ensure model robustness, generalization, and fairness across global demographics and geographies
  • Partner with Product, Authentication, Identity, and Fraud teams to define ML objectives and roadmaps
  • Collaborate with ML Platform teams on efficient training pipelines, scalable inference, and monitoring
  • Embed regulatory compliance, data privacy, and responsible AI practices into model development
  • Build team culture emphasizing scientific rigor, experimentation, collaboration, and execution
  • Anticipate and defend against emerging threats like deepfakes, replay attacks, and generative AI fraud
  • Mentor senior data scientists and ML engineers in technical growth and leadership development
  • Monitor production model performance, detect drift, and drive continuous improvement iterations
  • Contribute to Veriff's long-term biometric strategy and technology roadmap
  • Conduct technical interviews and hire top talent to scale the Face Intelligence team

Benefits

  • general: Competitive salary range with performance-based bonuses
  • general: Stock options in a fast-growing identity verification unicorn
  • general: Fully remote work flexibility across Europe
  • general: Comprehensive health insurance coverage
  • general: Generous paid time off (30+ days annually)
  • general: Parental leave policies supporting work-life balance
  • general: Professional development budget for conferences and courses
  • general: Mental health and wellness programs
  • general: Home office setup allowance
  • general: Company-sponsored team retreats and offsites
  • general: Fitness and gym membership reimbursements
  • general: Learning platforms access (Coursera, Udacity, O'Reilly)
  • general: Volunteer time off for meaningful causes
  • general: Employee assistance programs
  • general: Relocation support for Tallinn or Madrid offices

Target Your Resume for "Machine Learning Engineering Manager (Face Intelligence) Careers at Veriff - Tallinn, Estonia & Madrid, Spain (Remote) | Apply Now!" , Veriff

Get personalized recommendations to optimize your resume specifically for Machine Learning Engineering Manager (Face Intelligence) Careers at Veriff - Tallinn, Estonia & Madrid, Spain (Remote) | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Machine Learning Engineering Manager (Face Intelligence) Careers at Veriff - Tallinn, Estonia & Madrid, Spain (Remote) | Apply Now!" , Veriff

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

machine learning engineering manager jobsface biometrics engineer Veriffliveness detection ML careersdeepfake detection jobs TallinnML engineering manager remote Europecomputer vision leadership rolesbiometric ML manager Spainfraud prevention ML engineerproduction ML systems managerresponsible AI leadership jobsface recognition model deploymentanti-spoofing ML careersVeriff machine learning jobssenior ML manager remoteidentity verification ML rolesdata science manager biometricsMLOps engineering managerglobal scale ML leadershipTallinn tech jobs MLMadrid remote ML managergenerative AI fraud defense jobsEngineering

Answer 10 quick questions to check your fit for Machine Learning Engineering Manager (Face Intelligence) Careers at Veriff - Tallinn, Estonia & Madrid, Spain (Remote) | Apply Now! @ Veriff.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.