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
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💰 - Day rate
Unknown
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🗓️ - Date
November 14, 2025
🕒 - Duration
1 to 3 months
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🏝️ - Location
Hybrid
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📄 - Contract
Outside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - 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