Associate Director – Data, Product and AI – Contract
Location: Hybrid 1-2 days per week onsite in London
Start: 24th November – 1 month initially but strong chance of extension
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.
- Provide a pre‑defined library for initial deployment (e.g., finance or operational materials).
- Implement 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.
Seniority level
Mid‑Senior level
Employment type
Contract
Job function
Production
Industries: Business Consulting and Services and Education
#J-18808-Ljbffr”, “datePosted”: “2026-04-11”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Omnis Partners”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__402691644__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “” } } }Associate Director – Data, Product and AI – Contract
Location: Hybrid 1-2 days per week onsite in London
Start: 24th November – 1 month initially but strong chance of extension
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.
- Provide a pre‑defined library for initial deployment (e.g., finance or operational materials).
- Implement 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.
Seniority level
Mid‑Senior level
Employment type
Contract
Job function
Production
Industries: Business Consulting and Services and Education
#J-18808-Ljbffr…