We are looking for a Software Engineering Lead / Applied AI Engineering to lead a multidisciplinary engineering team delivering AI-powered services and tools for digital identity, fraud detection, and behavioural intelligence.
Requirements
- Lead and grow a team of full-stack ML engineers, QA engineers, and a UI developer
- Define technical direction for AI-enhanced services, internal tools, and platform components
- Drive architecture for model deployment pipelines, inference APIs, and data and feature systems
- Ensure high-quality delivery across code quality, testing, documentation, and observability
- Partner with Product, Architecture, and ML Research teams to prioritise and scope work
- Foster a culture of modern AI development practices — LLM tooling, MLOps, automation
- Set and enforce DevOps and SecOps standards across the team's services and pipelines
- Coordinate cross-team dependencies and contribute to roadmap planning
- Support hiring, onboarding, and performance development within the team
Benefits
- Generous holiday allowance with the option to buy additional days
- Health screening, eye care vouchers and private medical benefits
- Wellbeing programs
- Life assurance
- Access to a competitive contributory pension scheme
- Save As You Earn share option scheme
- Travel Season ticket loan
- Electric Vehicle Scheme
- Optional Dental Insurance
- Maternity, paternity and shared parental leave
- Employee Assistance Programme
- Access to emergency care for both the elderly and children
- RECARES days, giving you time to support the charities and causes that matter to you
- Access to employee resource groups with dedicated time to volunteer
- Access to extensive learning and development resources
- Access to employee discounts scheme via Perks at Work