Machine Learning Engineer – Hedge Fund Forecasting

Central London – office based

£90-120k highly negotiable + discretionary bonus 50-100% of salary

An opportunity for an elite Machine Learning Engineer to join a very small, topflight, AI team (2-6 people within a larger international group) with arguably the leading macro hedge fund. The bonus potential is unparalleled. The challenges genuinely interesting from a data perspective.

You will work closely with AI and Research teams to own the design, implementation, and maintenance of ML pipelines for forecasting. You will prize taking ownership of the work, devising your own plans, impacting directly on the forecast.

Responsibilities:

• Build scalable machine learning pipelines for predominantly time-series forecasting
• Collaborate with data scientists and researchers to productionise models
• Manage cloud-based and on-prem setup

Requirements:

• 2–5+ years’ experience in ML engineering / MLOps roles
• Strong proficiency in Python and experience with relevant ML libraries/frameworks (pandas, numpy, sklearn, TensorFlow, PyTorch)
• Strong understanding and experience in implementing end-to-end ML pipelines (data, training, validation, serving)
• Experience with ML workflow orchestration tools (e.g., Airflow, Prefect, Kubeflow) and ML feature or data platforms (e.g., Tecton, Databricks, etc.)
• Experience with cloud platforms (AWS, GCP/Vertex, Azure), Docker, and Kubernetes
• Solid coding practices (Git, automated testing, CI/CD).
• Proficiency with Linux
• Familiarity with time-series analysis
• Experience in financial services

Above all we’re seeking incredibly smart, driven people.