London, United Kingdom | Posted on 20/04/2026
London (Hybrid – 3 days/week onsite) 6 Month Contract Role (Inside IR35 – Competitive Day Rate)
About the Role
We are seeking an experienced AI Engineer with a strong data engineering foundation and a passion for solving real-world trading problems. You will work directly with traders and analysts, building AI-powered analytics and data solutions that deliver actionable insights from market pricing and fundamental data—often in near real‑time.
This role sits at the intersection of AI, data engineering, and trading, with a focus on rapid prototyping, stakeholder collaboration, and production‑grade delivery using modern Azure and Databricks ecosystems.
What You’ll Do
* Design and deliver AI-driven analytics for front‑office use, including forecasting, seasonality, correlation, regression, and scenario modelling
* Build scalable, reusable data pipelines using Databricks (PySpark/Spark, Delta, Unity Catalog), optimizing performance, cost, and reliability
* Develop real‑time and near real‑time data solutions to support trading and reporting needs
* Translate complex trading problems into prototypes and MVPs, iterating rapidly based on feedback
* Partner closely with traders and analysts to understand requirements and communicate insights effectively
* Implement LLM and agent‑based workflows (prompt engineering, orchestration, retrieval, tool usage, and guardrails)
* Perform statistical and econometric analysis on large‑scale time‑series datasets
* Productionize solutions with robust testing, observability, CI/CD pipelines, and documentation
* Enable reporting and data access via tools such as Power BI and similar platforms
What You’ll Bring
* Strong hands‑on experience with Databricks and Spark (PySpark, SQL, Delta Lake, Unity Catalog)
* Solid foundation in statistics, econometrics, or data science—particularly with market time‑series data
* Experience building AI/ML and LLM‑based solutions (prompting, retrieval, agent workflows)
* Proficiency in Python and modern data/ML tooling (e.g., MLflow, feature stores, vector databases)
* Familiarity with CI/CD, Terraform, and production‑grade engineering practices
* Excellent communication and stakeholder management skills, with the ability to work directly with front‑office users
Nice to Have
* Experience in commodity or financial trading environments
* Understanding of market fundamentals, derivatives, P&L, contracts, and trading lifecycle
* Knowledge of market micro‑structure, supply‑demand dynamics, and risk management concepts
Ways of Working
* Hybrid model with close collaboration alongside trading teams
* Fast‑paced, iterative delivery: prototype quickly, refine with users, and scale to production
* Strong focus on engineering excellence, including automated testing, governance, and operational reliability
* Ability to work independently while leveraging support from a broader data and engineering team
Who You Are
* A pragmatic problem‑solver who thrives in ambiguous, high‑impact environments
* Comfortable bridging the gap between technical solutions and trading needs
* Driven to deliver measurable value through AI and data
If you’re excited about applying AI and advanced analytics in a trading environment and working directly with front‑office stakeholders, we’d love to hear from you.
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