Templeton and Partners - Tech Recruitment
AI Engineer (Trading / Data Engineering)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer (Trading/Data Engineering) with a contract length of 12 months, offering £600–£850/day. Key skills include Spark/PySpark, SQL, and AI/LLM experience. Front-office exposure and trading/commodities experience are preferred. Hybrid work location.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
850
-
🗓️ - Date
May 20, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Inside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#SQL (Structured Query Language) #AI (Artificial Intelligence) #Data Engineering #Forecasting #PySpark #Regression #Statistics #Terraform #MLflow #Spark (Apache Spark)
Role description
🚨 AI Engineer (Trading / Data Engineering)
💰 £600–£850/day | 📄 12 Months | 📍 Hybrid | Inside IR35
Want to build AI-driven analytics used directly by traders? We’re hiring an AI Engineer to deliver real-time insights across market pricing & fundamentals data in a fast-paced trading environment.
⚡ What you’ll do:
• Build forecasting, regression & scenario models
• Engineer high-performance Spark / PySpark pipelines
• Deploy LLM-powered solutions into production
• Work side-by-side with traders to solve real problems fast
✅ You’ll need:
• Strong Spark / PySpark + SQL
• Solid data engineering + time-series/statistics
• Hands-on with AI / LLM use cases
• Confident stakeholder skills
➕ Bonus: Trading/commodities, MLflow, Terraform, CI/CD, vector DBs
🔥 Front-office exposure
🔥 Fast build → deploy → impact cycle
🔥 High visibility work
💬 Interested? Please apply now!
🚨 AI Engineer (Trading / Data Engineering)
💰 £600–£850/day | 📄 12 Months | 📍 Hybrid | Inside IR35
Want to build AI-driven analytics used directly by traders? We’re hiring an AI Engineer to deliver real-time insights across market pricing & fundamentals data in a fast-paced trading environment.
⚡ What you’ll do:
• Build forecasting, regression & scenario models
• Engineer high-performance Spark / PySpark pipelines
• Deploy LLM-powered solutions into production
• Work side-by-side with traders to solve real problems fast
✅ You’ll need:
• Strong Spark / PySpark + SQL
• Solid data engineering + time-series/statistics
• Hands-on with AI / LLM use cases
• Confident stakeholder skills
➕ Bonus: Trading/commodities, MLflow, Terraform, CI/CD, vector DBs
🔥 Front-office exposure
🔥 Fast build → deploy → impact cycle
🔥 High visibility work
💬 Interested? Please apply now!
