AI Engineer - Trading Analytics - 12-month contract Inside IR35
Posted 1 week ago by Jobserve
£850 Per day
Inside
Hybrid
London
Summary: The role of AI Engineer focuses on developing AI-driven analytics solutions within a trading environment, requiring a strong data engineering background. The position involves collaboration with traders and analysts to deliver insights on market pricing and fundamentals data. Candidates should have experience in building scalable data pipelines and statistical analysis. This is a 12-month contract role classified as inside IR35.
Key Responsibilities:
- Design and deliver AI-powered analytics for Front Office use cases: seasonality, correlation, regression, forecasting, scenario modelling
- Build scalable, reusable data pipelines using Spark-based technologies
- Perform statistical and econometric analysis on large datasets
- Collaborate with traders and analysts to translate requirements into solutions
- Develop LLM-based workflows (prompt engineering, orchestration, integrations)
- Productionise solutions with testing, monitoring, and documentation
Key Skills:
- Strong experience with Spark/PySpark and SQL
- Proven data engineering expertise (ingestion, modelling, orchestration)
- Solid background in statistics or data science (time-series preferred)
- Experience building LLM/AI solutions
- Familiarity with CI/CD, Terraform, MLflow, vector databases, and governance
- Strong stakeholder communication skills
Salary (Rate): £850 per day
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
- Duration: 12-month contract
- IR35 Status: Inside IR35
- Rate: £600 - £850 per day
- Working Pattern: Hybrid
About the Role
We're looking for an experienced AI Engineer with a strong data engineering background and excellent communication skills. This role is ideal for someone with exposure to commodity or financial trading environments.
You'll work closely with traders and analysts to rapidly develop AI-driven analytics solutions on market pricing and fundamentals data, leveraging modern data platforms to deliver high-impact insights at pace.
Key Responsibilities
- Design and deliver AI-powered analytics for Front Office use cases: seasonality, correlation, regression, forecasting, scenario modelling
- Build scalable, reusable data pipelines using Spark-based technologies
- Perform statistical and econometric analysis on large datasets
- Collaborate with traders and analysts to translate requirements into solutions
- Develop LLM-based workflows (prompt engineering, orchestration, integrations)
- Productionise solutions with testing, monitoring, and documentation
Key Requirements
- Strong experience with Spark/PySpark and SQL
- Proven data engineering expertise (ingestion, modelling, orchestration)
- Solid background in statistics or data science (time-series preferred)
- Experience building LLM/AI solutions
- Familiarity with CI/CD, Terraform, MLflow, vector databases, and governance
- Strong stakeholder communication skills
Desirable Experience
- Commodity or financial trading background
- Understanding of market microstructure and risk management
Ways of Working
- Hybrid working model with close collaboration with trading teams
- Fast-paced environment focused on rapid prototyping and iteration