AI Developer

Experis; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading technology firm is seeking an experienced AI Developer to build AI solutions using Microsoft Azure. The role requires strong skills in Python and large datasets, along with expertise in governance frameworks for AI/ML. Ideal candidates will have at least three years of AI solution engineering experience. This is a 5-month contract position based in London with a competitive day rate.

Qualifications

• Minimum 5 years of UK residency required.
• At least 3 years of experience in AI solution engineering.
• Experience with AI governance frameworks.

Responsibilities

• Build AI solutions using Microsoft Azure.
• Apply governance frameworks for AI/ML models.
• Create and maintain technical documentation.

Skills

Design and develop Microsoft Azure AI solutions

Python knowledge

Agile development

Large datasets experience

Large Language Models experience

Expert data analytics

Tools

Microsoft Azure

Docker

Kubernetes

Job description

Role: AI Developer

Location: London

Duration: 5 Months

Day rate: 540 - 585 Umbrella Only

Minimum of 5 years UK residency required

Role Description:

We're looking for an experience AI developer with the skills below. They'll be building out our client's AI needs and wants using a Microsoft Azure and Copilot stack.

Essential skills and experience

• Design and develop Microsoft Azure AI solutions using services such as; AI Foundry, Open-AI services, and Microsoft Copilot Studio.
• Apply governance frameworks for AI/ML models.
• Python knowledge to automate processes
• Large datasets experience, including data preprocessing, feature engineering, and model evaluation.
• Agile development of AI solution from concept to deployment to continuous improvement.
• Create and maintain technical documentation
• Communicate complex concepts to all stakeholders.
• At least 3 years of experience in AI solution engineering.
• Large Language Models experience including prompt engineering and RAG implementations.
• Expert data analytics, MLOps practices and API development.
• Desirable knowledge in Docker and Kubernetes