Machine Learning Engineer

Omnis Partners Ltd.; City of London; Hybrid; GBP 125,000 - 150,000; Full time

Job summary

A leading consultancy firm is looking for an Associate Director in Data, Product, and AI to work on AI projects for a global education organization. The ideal candidate will have strong Python skills, experience with machine learning deployment, and an understanding of SharePoint. This hybrid role requires developing workspace functionality and document management solutions, with a starting date of November 24th on a contract basis.

Qualifications

• Strong proficiency in Python with experience in machine learning deployment.
• Experience with MLOps tooling.
• Understanding of SharePoint and cloud-based directory structures.

Responsibilities

• Develop and maintain project-specific workspace functionality.
• Build or integrate a SharePoint or cloud-based file environment.
• Create permissioned repositories for document access.

Skills

Strong proficiency in Python

Experience in machine learning deployment

Understanding of SharePoint

Strong Azure or similar cloud-based storage

Experience building document management systems

Ability to work autonomously

Job description

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 organization 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

Seniority level: Mid‑Senior level

Employment type: Contract

Job function: Production

Industries: Business Consulting and Services and Education