Staff Software Engineer, AI/ML Product Engineering

CompanyEntrust

LocationLondon Area, United Kingdom

Posted At2/26/2026

UK Visa Sponsorship Analytics

Analytics are greyed out due to low classification confidence (39.0%).

Occupation Type

Programmers and software development professionals

Occupation Code Skill LevelHigher Skilled

Sponsorship Salary Threshold

£54,700 (£28.05 per hour)

Occupation rate applies

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Description

Position Overview:

We are seeking a Staff Software Engineer to join our innovative Biometrics team, where you will lead the architectural design and full-stack development of cutting-edge digital identity verification solutions. You will play a pivotal role in shaping the future of biometric authentication technology, from face matching and liveness detection to seamless user experience across web, iOS, and Android platforms. This role combines deep technical expertise with strategic thinking to drive the evolution of our biometrics platform in an industry rapidly advancing toward quantum computing and zero-knowledge proof paradigms.

Responsibilities:

Lead the full-stack architectural design and implementation of biometric identity verification solutions spanning React web applications, Swift iOS SDKs, and Kotlin Android SDKs
Drive technical strategy and roadmap development for the Biometrics platform, ensuring alignment with emerging industry standards including NIST FRTE and FIDO Alliance requirements
Design and optimize Python-based AI/ML backend systems for biometric processing, with integration points across Ruby and Elixir microservices

Collaborate with cross-functional teams to implement privacy-compliant solutions adhering to BIPA, CUBI, ETSI, and GDPR regulations

Mentor and guide engineering teams through complex technical challenges, code reviews, and architectural decisions

Partner with product management and engineering leadership to translate business requirements into scalable technical solutions

Champion software security best practices including secure SDLC, cryptographic implementation, and code obfuscation techniques

Lead the evaluation and integration of emerging technologies such as quantum-resistant cryptography and zero-knowledge proof systems

Drive continuous improvement of development processes, deployment pipelines, and system reliability

Represent Entrust's technical capabilities in industry forums and contribute to open-source biometric standards

Your future short-term and major projects:

Grow adoption of Biometrics products, from face matching, liveness detection and authentication, all the way to how these are integrated from user experience to mobile development and backend processing
Work with Director of Engineering and your Staff Engineer+ peers to define path forward for how Biometrics technology will evolve in the context of our team, but also in the context of the Entrust ecosystem and, ultimately, our position in the Digital Identity industry landscape

Architect and implement quantum-resistant cryptographic protocols for biometric data protection and zero-knowledge proof integration

Contribute to design of unified SDK architecture that provides consistent developer experience across React, Swift, and Kotlin platforms

Drive the development of real-time biometric liveness detection capabilities with sub-second response times and 99.9% accuracy

Basic Qualifications, Skills & Experience

Bachelor's degree in Computer Science, Software Engineering, or related technical field
8+ years of professional software development experience with a focus on full-stack engineering
4+ years of experience in a senior or staff-level engineering role with demonstrated technical leadership
Expert-level proficiency in at least two of the following: Python (preferred), React/TypeScript (preferred), Swift/iOS development, Kotlin/Android development
Strong experience with cloud platforms (AWS, Azure, GCP) and containerized deployment using Docker and Kubernetes
Proven track record of designing and implementing scalable distributed systems and microservices architectures

General understanding of modern AI/ML frameworks (TensorFlow, PyTorch) and model deployment in production

Deep understanding of software security principles, cryptography, and privacy-by-design methodologies

Experience with agile development methodologies and modern DevOps practices

Strong communication skills with ability to explain complex technical concepts to diverse audiences

Preferred Qualifications, Skills & Experience:

Experience in multi-threaded applications and high-performance computing environments
Experience with software security concepts (secure SDLC, cryptography, obfuscation, code signing, and security testing)
Experience with SaaS development and deployment at scale
Experience with Docker, Kubernetes, Terraform or similar
Experience with monitoring tools like Sentry, NewRelic, Datadog, Splunk or similar
Experience in SSO, SAML 2.0, OAuth 2.0, and modern identity federation protocols
Experience developing a commercial/external software product with external API consumers
Previous work in biometrics, computer vision, or identity verification domains

Knowledge of privacy regulations (GDPR, BIPA, CCPA) and their technical implementation requirements

Experience with Ruby on Rails, Elixir/Phoenix, or other backend frameworks beyond Python

Understanding of zero-knowledge proof systems and their practical applications

Experience with mobile app security, including certificate pinning, runtime application self-protection (RASP), and anti-tampering techniques

Masters or PhD in Computer Science, Machine Learning, or related field

Familiarity with quantum computing concepts and post-quantum cryptography

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