

Artificial Intelligence Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer on a contract basis (Fully Remote) at £550 p/d, requiring expertise in Python, GCP, Azure, and Machine Learning. Candidates must have experience in deploying scalable solutions and developing cloud infrastructure.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
550
-
🗓️ - Date discovered
July 12, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
Remote
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Cardiff, Wales, United Kingdom
-
🧠 - Skills detailed
#GCP (Google Cloud Platform) #Data Science #Azure #Documentation #Scala #Microsoft Azure #Model Deployment #Version Control #ML (Machine Learning) #AI (Artificial Intelligence) #Cloud #Deployment #Storage #Python #Data Processing
Role description
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
Contract - AI Developer (Fully Remote) - £550 p/d
We are seeking a highly skilled and motivated AI Developer with experience in Python, Google Cloud Platform (GCP), Microsoft Azure, and Machine Learning technologies. The ideal candidate will be responsible for developing scalable solutions, deploying machine learning models, and integrating cloud-based services using cutting-edge technologies.
Key Responsibilities:
• Design, develop, and maintain scalable Python applications.
• Build and deploy machine learning models on cloud platforms (GCP and Azure).
• Develop, test, and optimize machine learning algorithms for various business use cases.
• Implement and manage cloud infrastructure on GCP and Azure to support data processing, storage, and model deployment.
• Design RESTful APIs for machine learning services and integrate them with existing systems.
• Monitor, troubleshoot, and optimize cloud services to ensure high availability and performance.
• Collaborate with cross-functional teams, including data scientists, cloud engineers, and product managers, to deliver solutions.
• Ensure best practices in software development, including version control, documentation, and testing.
Soft Skills:
• Strong communication and collaboration skills.
• Ability to adapt quickly to new technologies and changing business needs.
• Detail-oriented with excellent analytical and organizational skills.
• Proactive in identifying issues and proposing solutions.