AI Engineer - Production ML & Generative AI (Hybrid)

The-Aa; Greater London; Híbrido; GBP 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

25 days' annual leave + bank holidays

Up to 7% employer pension contribution

Free AA breakdown membership from Day

24/7 GP access and wellbeing support

Employee discounts including car and家

Descripción de la vacante

The AA is seeking an AI Engineer in London to design, build, test, deploy and operate production AI and ML solutions, taking ownership from problem framing to live operation. You will collaborate with data scientists, product managers and engineers to deliver scalable AI across analytics, automation, and generative AI domains.

You will demonstrate direct contributions to AI systems built, deployed and operated in production, with emphasis on responsible AI practices, performance, latency, and

Formación

• Strong hands-on AI/ML engineering experience with production systems.
• Proven ability to build, deploy and operate AI/ML in production.
• Experience across end-to-end AI/ML lifecycle from data prep to monitoring.
• Exposure to generative AI or agent-based systems and backend services.

Responsabilidades

• Design, build, test, deploy and operate scalable AI/ML applications and data pipelines in Python.
• Own technical outcomes from problem definition to production deployment and monitoring.
• Make pragmatic trade-offs on model performance, latency and cost.
• Build production capability with CI/CD, containerisation and cloud-native practices.
• Share knowledge through reviews, documentation and guidance, and apply responsible AI principles.

Conocimientos

Hands-on AI/ML engineering

Python

Production deployment

End-to-end AI/ML lifecycle

Generative AI / agent-based systems

CI/CD

Containerisation

Cloud-native deployment

Observability

Cross-functional collaboration

Herramientas

CI/CD

Containerisation

Cloud-native deployment

Observability

Descripción del empleo

The AA is seeking an AI Engineer in London to design, build, test, deploy and operate production AI and ML solutions, taking ownership from problem framing to live operation. You will collaborate with data scientists, product managers and engineers to deliver scalable AI across analytics, automation, and generative AI domains.

You will demonstrate direct contributions to AI systems built, deployed and operated in production, with emphasis on responsible AI practices, performance, latency, and