Job Title: Machine Learning Engineer Location : Fully Remote UK
Job Type: 6 Month Contract + chance for extension
Video Interviews held remotely
A Private Equity firm are seeking a Machine Learning Engineer to join on an initial 6-month contract to assist in the firms portfolio optimisation, risk management, and predictive modelling. You will be working alongside them through one of our consultancy partners who have recently won the bid for the project.
Machine Learning Engineer Key Responsibilities:
Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities.
Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies.
Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment decisions.
Use AI to simulate different market conditions and generate optimal exit strategies.
Help in the adoption of AI tools to optimise operations, reduce costs, and drive growth through automation and data-driven insights.
Machine Learning Engineer Key Skills Required:
Comprehensive understanding of the full machine learning lifecycle, from development to production.
Experience deploying machine learning models using frameworks like Scikit-learn, TensorFlow, or PyTorch.
Proficiency in Python and adherence to software engineering best practices.
Strong technical expertise in cloud architecture, security, and deployment, with experience in Azure.
Solid foundation in probability, statistics, and common supervised and unsupervised learning techniques.