Python Azure AI Engineer

Python Azure AI Engineer

6 Months
Telford 2 days a week
£519

As an AI Engineer within the programme, you will be part of a multidisciplinary team driving digital transformation for one of the UK's most critical government departments. This role focuses on designing, developing, and deploying AI-driven solutions to modernise legacy systems, enhance operational efficiency, and deliver innovative services aligned with the clients strategic objectives.

Key Responsibilities

• AI Solution Development: Build and integrate AI models and accelerators to automate processes and improve delivery speed across the Actian Exit programme.
• Generative AI Applications: Apply GenAI techniques for software engineering, data analysis, and automation within secure government environments.
• Collaboration: Work closely with architects, engineers, and delivery leads to ensure solutions meet the clients governance, accessibility, and security standards.
• Rapid Prototyping: Support agile delivery by creating proof-of-concepts and prototypes for AI-enabled services.
• Performance Optimisation: Monitor and refine AI models for accuracy, scalability, and compliance.
• Knowledge Sharing: Mentor engineers and contribute to AI capability building within the clients MU.

Essential Skills

• Strong proficiency in Python, Azure AI Services, and Machine Learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with Generative AI and LLM-based solutions for enterprise use cases.
• Familiarity with DevOps pipelines and CI/CD practices using Gitlab or Azure DevOps.
• Understanding of data governance, security protocols, and public sector compliance.
• Excellent problem-solving and stakeholder engagement skills, experimental and inquisitive mindset to trial-and-error different AI solutions and approaches.

Desirable Skills

• Knowledge of Power Platform and integration with AI services.
• Knowledge or development languages including Java and/or VB6.
• Knowledge of App-V & Windows Server.
• Exposure to cloud-native architectures and microservices.
• Experience in Agile delivery and rapid prototyping.
• Experience of eg. command-line Unix/Linux OS / Ubuntu distribution.