£519 Per day
Undetermined
Undetermined
Telford, England, United Kingdom
Summary: The Python Azure AI Engineer role involves working within a multidisciplinary team to drive digital transformation for a critical UK government department. The position focuses on designing, developing, and deploying AI-driven solutions to modernize legacy systems and enhance operational efficiency. Key responsibilities include AI solution development, collaboration with various stakeholders, and performance optimization of AI models. Essential skills include proficiency in Python and Azure AI Services, along with experience in Generative AI and DevOps practices.
Key Responsibilities:
- Build and integrate AI models and accelerators to automate processes and improve delivery speed across the Actian Exit programme.
- Apply GenAI techniques for software engineering, data analysis, and automation within secure government environments.
- Work closely with architects, engineers, and delivery leads to ensure solutions meet the clients governance, accessibility, and security standards.
- Support agile delivery by creating proof-of-concepts and prototypes for AI-enabled services.
- Monitor and refine AI models for accuracy, scalability, and compliance.
- Mentor engineers and contribute to AI capability building within the clients MU.
Key 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.
Salary (Rate): £519 daily
City: Telford
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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