Lead AI Engineer – GCP – FinTech/Trading

Lead ML / AI Engineer – GCP – FinTech / Trading

One of the most exciting global FinTech groups are hiring a Lead Machine Learning Engineer with excellent GCP experience. as they continue a major period of growth, both organically and through acquisitions, they are now hiring a Machine Learning Engineer for a greenfield initiative to build a new Production Machine Learning capability.

With a division head who is exceptionally passionate about AI and Technology, the team is heavily investing in a modern tech stack. This is an incredible opportunity for a genuinely enthusiastic Lead ML Engineer to build a critical cornerstone of the group's technology strategy.

Your responsibilities in this role will be:

• Owning the full Production ML Engineering lifecycle including feature stores, training pipelines, model serving and automated retraining - Build on Vertex AI, BigQuery ML, or custom infrastructure as appropriate
• Building Production AI systems for trading intelligence, client behaviour analysis, anomaly detection, and market surveillance
• Forecasting models across trading volumes, revenue, liquidity, and operational metrics using statistical and machine learning techniques

To be successful in applying, you will need:

• 5+ years’ experience building and deploying production machine learning systems in Python, including ownership of feature engineering, training, deployment, retraining, and model lifecycle management (Essential)
• A strong background working with GCP (Essential)
• Excellent experience with time-series data, anomaly detection, classification, clustering, or statistical modelling techniques
• Strong AI literacy with knowledge of frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, langchain and langgraph, as well as experience with MCP, VectorDBs and fine-tuning LLMs
• Prior exposure to trading environments, market data, orderbook analytics, financial time-series (Preferred)

If you feel your experience is a match with the above, please apply with an up to date CV in the first instance