Software Developer (Digital Health & AI) | Contract

Job Scope

Front-End Development

• Design, develop, and test scalable frontend solutions for web and mobile applications aligned with business and user requirements.
• Collaborate with stakeholders, UX/UI, backend, data science and ML teams to deliver integrated, end-to-end digital experiences, including AI-assisted features.
• Lead frontend architecture ensuring performance, accessibility, security, maintainability, and responsible presentation of AI outputs
• Integrate APIs serving ML models and real-time inference services.
• Support deployment, release, monitoring, and optimisation of frontend components.
• Provide clear documentation and knowledge transfer, while continuously adopting modern frontend technologies and best practices.

Back-End Development

• Design, develop, and test robust, scalable backend solutions aligned with business, system, and data requirements.
• Develop and maintain secure APIs supporting AI/ML inference, model orchestration, scoring logic, and risk-flag workflows
• Implement data pipelines for ingestion, transformation, anonymisation, and storage to support analytics and model training (where applicable)
• Collaborate with data scientists to operationalise models, including feature engineering pipelines and model integration into production systems
• Ensure backend architecture supports performance, reliability, security, auditability, and traceability of AI outputs.
• Support deployment, monitoring, troubleshooting, and optimisation of backend and ML-enabled services.
• Produce comprehensive technical documentation, including system architecture, data flows, and model integration artefacts.

DevOps, MLOps & Security Operations

• Support and maintain CI/CD pipelines for application and ML model deployment.
• Implement and manage MLOps workflows, including model versioning, experiment tracking, containerisation, environment reproducibility, and rollback strategies.
• Enable automated testing and validation of models prior to production release (e.g., performance thresholds, bias checks, regression benchmarks).
• Monitor system health, model performance, drift indicators, and inference latency.
• Support secure environment configuration, secrets management, and release coordination.
• Conduct routine security operations including vulnerability management, patching, log monitoring, and support for security assessments and audits.
• Maintain infrastructure, access control, and documentation aligned with governance and compliance requirements.

Quality Assurance, Testing & Release Readiness

• Develop and execute test cases to validate functionality, compatibility, performance, security, and reliability across supported platforms.
• Conduct validation of AI-enabled components, including output consistency, edge-case handling, and human-in-the-loop safeguards.
• Identify, log, and track defects, regression issues, and model performance degradation through to resolution.
• Coordinate testing cycles across engineering, product, and data teams.
• Provide formal sign-off on release readiness, including confirmation that quality, security, and model validation criteria have been met.

Job Qualifications

• Degree in Computer Science, Software Engineering, or related field.
• 3+ years of professional experience in software development (frontend, backend, or full stack).
• Proficiency in Python with frameworks such as Django, FastAPI, Wagtail, and Django REST Framework (DRF).
• Knowledge of relational and document databases (PostgreSQL, DocumentDB, Valkey).
• Experience with cloud infrastructure (AWS), containerization (Docker), and search technologies (OpenSearch).
• Familiarity with testing frameworks (Python unittest).
• Expertise in TypeScript, React Native, and Redux for scalable web and mobile applications.
• Experience with testing tools (Jest, Detox) and styling frameworks (RN Unistyles).
• Knowledge of CI/CD and distribution platforms (Fastlane, TestFlight, Google Play Console).
• Integration with analytics and backend services (Firebase).
• Excellent command of TypeScript and Python for automation.
• Hands-on experience with AWS CDK, CloudFormation, and GitLab CI.
• Proficiency in containerization and security tools (Docker, Snyk, SonarQube).
• Monitoring and operational tools (Sentry, Site24x7, OpenVPN, WebOrion).

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