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)
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)
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