AI Developer

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

Job summary

A leading recruitment agency in the UK is seeking an experienced AI Developer for a project in London. The successful candidate will develop AI solutions using Microsoft Azure and must have a minimum of 5 years UK residency. Expertise in Python and agile development is essential, and experience with large datasets is preferred. This role offers a competitive day rate and flexibility in work arrangements.

Qualifications

• Minimum of 5 years UK residency required.
• At least 3 years of experience in AI solution engineering.
• Expert in data analytics and automation of processes.

Responsibilities

• Design and develop Microsoft Azure AI solutions.
• Apply governance frameworks for AI/ML models.
• Create and maintain technical documentation.
• Communicate complex concepts to all stakeholders.

Skills

Microsoft Azure

Python

Agile development

Large Language Models

Data analytics

MLOps practices

API development

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