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Machine Learning Engineer

X4 Technology
Manchester
3 months ago
Applications closed

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Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Job Title:AzureMachine Learning Engineer

Location: Fully Remote UK

Job Type:6 Month Contract + chance for extension

Interview Process: Video Interviews held remotely

Rate:DOE Outside IR35


A Private Equity firm are seeking anAzureMachine 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.


The end point client operate primarily in an Azure environment hence demonstratable experience in Azure is a must.


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.
  • Hands-on experience with containers, particularly Docker and Kubernetes.
  • Solid foundation in probability, statistics, and common supervised and unsupervised learning techniques.


If you think this could be an exciting opportunity for you then please apply now!

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