AI Solution Architect

Orbis; United Kingdom; Remote; GBP 50,000 - 80,000; Full time

Job summary

A technology consulting firm in the United Kingdom is seeking an AI Architect to shape the data infrastructure for AI-driven quantitative research. This fully remote role requires expertise in designing data architectures for AI/ML teams and knowledge of AWS analytics stack. Candidates should have strong Python skills and an understanding of quant research workflows. The position offers an initial six-month contract outside of IR35.

Qualifications

• Proven experience designing and implementing data architectures for AI/ML teams.
• Deep technical knowledge of AWS analytics stack (S3, Lambda, Glue).
• Hands-on experience with Apache Iceberg and Python (Polars).
• Familiarity with notebook-based workflows (e.g., Jupyter), reproducibility, and feature pipelines.
• Understanding of quant research workflows, feature engineering, and model development.

Responsibilities

• Design and implement data architectures for AI/ML teams.
• Enable efficient data workflows for quantitative research.

Skills

Designing data architectures

Technical knowledge of AWS analytics stack

Hands-on experience with Apache Iceberg

Python (Polars)

Familiarity with Jupyter workflows

Understanding of quant research workflows

Rust development experience

Job description

Overview

AI Architect / Data Strategy - Quant Research. Fully remote. Start: ASAP. Initial contract duration: 6 months. Outside IR35.

You'll be shaping the data infrastructure that underpins AI-driven quantitative research. The role focuses on transforming raw market data into structured, enriched datasets that empower researchers to build and test models with minimal engineering friction.

Responsibilities

Key responsibilities include designing and implementing data architectures for AI/ML teams, and enabling efficient data workflows for quantitative research.

• Proven experience designing and implementing data architectures for AI/ML teams
• Deep technical knowledge of AWS analytics stack (S3, Lambda, Glue)
• Hands-on experience with Apache Iceberg and Python (Polars)
• Familiarity with notebook-based workflows (e.g., Jupyter), reproducibility, and feature pipelines
• Understanding of quant research workflows, feature engineering, and model development
• Bonus: Rust development experience
• Strong ability to bridge technical engineering and research needs in R&D-heavy environments

Qualifications

Please ensure the above experience is clearly reflected in your CV.