

Omnis Partners
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer on a 1-month contract, hybrid in London, starting 24th November. Pay is outside IR35, based on experience. Key skills required include Python, MLOps, Azure, and SharePoint, with experience in document management systems.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
November 14, 2025
🕒 - Duration
1 to 3 months
-
🏝️ - Location
Hybrid
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📄 - Contract
Outside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#Storage #Metadata #Cloud #AI (Artificial Intelligence) #Agile #Python #Deployment #SharePoint #ML (Machine Learning) #Azure
Role description
Machine Learning Engineer - 1 Month Initial Contract
📍 Location: Hybrid 1-2 days per week onsite in London
📅 Start: 24th November - 1 month initially but strong chance of extension
💰 Day Rate: Outside IR35 - rate depending on experience.
An established consultancy is seeking a Machine Learning Engineer (Contract) to support a global education organisation on an ongoing AI workspace project. The work will focus on extending internal tooling and integrating intelligent document management capabilities used across multiple regions.
This is a hands-on individual contributor role, ideal for someone who enjoys working end-to-end from data and architecture through to deployment and knowledge transfer within a collaborative, agile delivery team.
Key Responsibilities
Develop and maintain project-specific workspace functionality, including:
• File storage, metadata and system prompt management
• UI integration with collapsible sidebar navigation
Build or integrate a SharePoint or cloud-based file environment, including:
• Permissioned repositories for business units to upload and access documents independently
• A pre-defined library for initial deployment (e.g., finance or operational materials)
• Basic access controls, validation and testing
Skills & Experience
• Strong proficiency in Python with experience in machine learning deployment and MLOps tooling
• Understanding of SharePoint.
• Strong Azure, or similar cloud-based storage and directory structures
• Experience building document or knowledge management systems
• Ability to work autonomously, taking ownership from design through to delivery
Machine Learning Engineer - 1 Month Initial Contract
📍 Location: Hybrid 1-2 days per week onsite in London
📅 Start: 24th November - 1 month initially but strong chance of extension
💰 Day Rate: Outside IR35 - rate depending on experience.
An established consultancy is seeking a Machine Learning Engineer (Contract) to support a global education organisation on an ongoing AI workspace project. The work will focus on extending internal tooling and integrating intelligent document management capabilities used across multiple regions.
This is a hands-on individual contributor role, ideal for someone who enjoys working end-to-end from data and architecture through to deployment and knowledge transfer within a collaborative, agile delivery team.
Key Responsibilities
Develop and maintain project-specific workspace functionality, including:
• File storage, metadata and system prompt management
• UI integration with collapsible sidebar navigation
Build or integrate a SharePoint or cloud-based file environment, including:
• Permissioned repositories for business units to upload and access documents independently
• A pre-defined library for initial deployment (e.g., finance or operational materials)
• Basic access controls, validation and testing
Skills & Experience
• Strong proficiency in Python with experience in machine learning deployment and MLOps tooling
• Understanding of SharePoint.
• Strong Azure, or similar cloud-based storage and directory structures
• Experience building document or knowledge management systems
• Ability to work autonomously, taking ownership from design through to delivery






