Graduate AI Engineer Consultant: Python & Azure MVPs

Reply, Inc.; Manchester, Greater London; Remote; GBP 28,000 - 40,000; Full time

Job summary

Reply, Inc. is seeking a graduate or early-career professional to design and deliver AI-powered products. You will work across the full lifecycle, from concept and MVPs through to scalable production deployments, using Python and modern cloud technologies.

Collaboration with senior consultants and business stakeholders will shape architecture, development, testing and adoption of AI solutions. You will contribute to architecture, coding and implementation while engaging with client stakeholders

Qualifications

• Recent graduate or early-career professional with a degree in Computer Science, AI, Data Science, Software Engineering, Mathematics, Physics, Engineering or related field.
• Strong foundations in AI and/or software engineering with hands-on Python experience.
• Familiar with SDLC, APIs, cloud platforms (Azure preferred).
• Confident in communicating tech concepts to non-technical stakeholders in client-facing environments.

Responsibilities

• Design and deliver AI-powered applications from early prototypes to MVPs and production.
• Develop Python components, integrate APIs, data pipelines and cloud services (Azure focus).
• Support solution architecture to ensure scalable, secure products aligned with client standards.
• Contribute to testing, deployment and monitoring for reliable production AI solutions.
• Translate business requirements into technical specs and actionable tasks.
• Engage with client stakeholders in workshops, demos and presentations to drive adoption.

Skills

Python

AI concepts

Software engineering

Cloud technologies

APIs

Education

Bachelor's degree in Computer Science/AI/Data Science or related field

Tools

Azure

Git

CI/CD

Job description

Reply, Inc. is seeking a graduate or early-career professional to design and deliver AI-powered products. You will work across the full lifecycle, from concept and MVPs through to scalable production deployments, using Python and modern cloud technologies.

Collaboration with senior consultants and business stakeholders will shape architecture, development, testing and adoption of AI solutions. You will contribute to architecture, coding and implementation while engaging with client stakeholders