Our latest job is for an AI Engineer to join a world-leading Energy Trading company as part one of their new AI initiatives - one of the most innovative in the industry.
In this role, you will be leading the technical direction of a major GenAI project initialising how it will be used in trading systems and applications. You'll partner with traders and trading analysts to rapidly build AI powered analytics over market pricing and fundamentals data, using Databricks and Spark to deliver value at speed.
This role will enable you to work with the latest cutting edge technology, applying it to highly competitive and immensely rewarding stakes. It will allow you to grow your skillset in an what is perhaps the most sought after area in the industry right now. On top of all this, it promises significant personal development and a chance to work in one of the most enviable work environments in the sector.
What you'll do:
- Design and ship AI driven analytics for front office use (seasonality, correlation, regression, forecasting, scenario modelling).
- Build reusable and scalable data pipelines in Databricks (PySpark/Spark, Delta/Unity Catalog), optimizing cost, reliability, and performance
- Run statistical/econometric analyses on large datasets (e.g., market & fundamental time series data).
Collaborate directly with traders/analysts translate ambiguous questions into shippable solutions; communicate insights clearly. - Implement LLM/agentic workflows: prompt engineering, LangGraph orchestration, MCP integrations, tool calling, retrieval, and guardrails.
Productionize solutions with testing, observability, versioning, and documentation.
What you'll bring:
- Hands on Databricks + Spark expertise (PySpark, SQL, Delta, Unity Catalog).
- Proven data engineering skills (ingestion, modelling, orchestration, performance tuning).
- Strong statistics/economics/data science fundamentals for market time series.
Experience building LLM solutions (prompting, retrieval, agent flows; LangGraph, MCP) and integrating with trading data/services. - Experience with CI/CD, Terraform, MLflow/feature stores, vector DBs, and governance (PII handling, data lineage).
- Excellent stakeholder skills; able to work on desk with traders/analysts and deliver fast.
Nice to have:
- Background in commodity or financial trading.
- Familiarity with market microstructure, supply demand fundamentals, risk management.
Ways of working - Hybrid; high touch collaboration with trading teams.
- Bias to prototype fast, iterate with users, and harden to production.
- Maintain operational stability of production pipelines using secure, modern CI/CD engineering practices with automated testing, quality gates, and built in reliability across development, security, and operations.