AI Engineer – Trading Analytics & Data Platforms
London (Hybrid – 3 days/week onsite)
6 Month Contract Role (Inside IR35 – Competitive Day Rate
Must Have Oil & Gas Industry Experience
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)
* Proven data engineering expertise (data ingestion, modelling, orchestration, performance tuning)
* 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.