Computer Vision & SDK Development Lead

YEO Messaging

London

1 month ago

Applications closed

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We are looking for an experienced Developer with strong computer vision experience to design, build, and maintain a high-performance Software Development Kit (SDK) used in security-critical mobile applications.

This role sits at the intersection of mobile engineering, applied computer vision, and SDK architecture, and will play a key role in delivering reusable, secure, and developer-friendly components used by third-party teams and partners.

Key Responsibilities

SDK Design & Development

Design and develop a cross-platform mobile SDK (iOS & Android) using Swift and Kotlin
Create clean, modular, well-documented SDK APIs for external developers
Ensure the SDK is easy to integrate, versioned correctly, and backward compatible
Own the full SDK lifecycle: design, development, testing, packaging, and release

Computer Vision & Biometrics

Implement and optimise computer vision pipelines on mobile devices
Work with camera frameworks, image processing, and real-time analysis
Integrate vision-based features such as:
Face detection / liveness detection
Image validation and anti-spoofing
Multi-signal identity verification (where applicable)
Optimise performance for low latency, low power usage, and on-device processing

Security, Quality & Performance

Apply secure coding practices suitable for identity, authentication, or trust-based systems
Write comprehensive unit, integration, and performance tests
Profile and optimise memory usage, CPU/GPU usage, and battery impact
Support internal and external developers during SDK integration

Collaboration & Documentation

Collaborate with product, security, and backend teams
Produce clear SDK documentation, sample apps, and integration guides
Contribute to technical design discussions and architectural decisions

Required Skills & Experience

Core Technical Skills

Proven experience building and maintaining SDKs or developer platforms
Hands-on experience with computer vision on mobile
Deep understanding of mobile performance constraints

Computer Vision Experience

Experience with mobile CV frameworks such as:
Apple Vision / CoreML
OpenCV (mobile)
Custom ML or image processing pipelines
Experience working with real-time camera input
Understanding of lighting conditions, motion, spoofing, and edge cases
Experience in using Tensaflow

Software Engineering

Strong knowledge of software architecture and API design
Experience with CI/CD for mobile libraries
Versioning, semantic releases, and dependency management
Comfortable working in high-assurance or security-focused environments

Nice to Have

Experience with biometrics, identity verification, or liveness detection
Experience writing SDKs consumed by external customers or partners
Familiarity with cryptography, secure enclaves, or trusted execution
Experience with cross-platform SDK strategies
Background in regulated industries (finance, legal, insurance, defence, healthcare)

What Success Looks Like

A robust, secure, and performant SDK that external developers enjoy using
Vision features that work reliably across devices and environments
Clear documentation that reduces integration friction
SDK releases that are predictable, stable, and well-supported

Ideal Seniority

Senior or Lead level
Comfortable owning complex technical problems end-to-end
Able to balance performance, usability, and security trade-offs

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