Python Azure AI Engineer
Experis
Lawley and Overdale, United Kingdom
2 days ago
Role details
Contract type
Temporary contract Employment type
Part-time (≤ 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Lawley and Overdale, United Kingdom
Tech stack
Java
Agile Methodologies
Artificial Intelligence
Data analysis
Microsoft App-V
Azure
Ubuntu (Operating System)
Cloud Computing
Continuous Integration
Data Governance
DevOps
Python
Machine Learning
Windows Server
Rapid Prototyping Process
TensorFlow
Software Engineering
PyTorch
Large Language Models
Generative AI
Gitlab
Vba Programming Language
Legacy Systems
Programming Languages
Microservices
Job description
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., * 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.
Requirements
- 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