Machine Learning Engineer - Finance/Investments

London – 5 days in office

Competitive Salary + Strong Bonus Potential

About the Role

We are working with a leading hedge fund and alternative investment firm, specialising in global macro strategies with a particular emphasis on inflation modelling and the wider economic landscape.

They are looking for a Machine Learning Engineer to join their London-based team, working closely with AI and research functions to design, implement, and maintain scalable ML pipelines for forecasting. This role offers the opportunity to work at the cutting edge of time-series forecasting within a fast-paced and intellectually rigorous environment.

Key Responsibilities

• Building scalable machine learning pipelines, with a focus on time-series forecasting.
• Collaborating with data scientists and researchers to productionise models.
• Managing both cloud-based and on-premise infrastructure.
• Ensuring reliability and scalability of ML systems in production.

What We’re Looking For

• 2–5 years of experience in ML Engineering or MLOps.
• Strong proficiency in Python and experience with ML libraries/frameworks (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Hands-on experience implementing end-to-end ML pipelines (data ingestion, training, validation, serving).
• Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.).
• Strong experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes.
• Solid coding practices, including Git, automated testing, and CI/CD.
• Proficiency with Linux environments.
• Knowledge of time-series analysis is a strong plus.

Please note, this role cannot offer VISA sponsorship.