Python Azure AI Engineer

Telford
3 months ago
Applications closed

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AI Engineer

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Forward Deployed Engineer – Generative AI / LLM Deployment

Forward Deployed Engineer

Graduate Machine Learning and 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

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