Machine Learning Engineer

JR United Kingdom; Swindon; Remote; GBP 40,000 - 60,000; Full time

Job summary

A leading private equity firm is looking for a Machine Learning Engineer for a fully remote, 6-month contract to enhance portfolio optimization and predictive modeling capabilities. This role requires expertise in Azure and machine learning techniques, providing a unique opportunity to impact financial decision-making in a dynamic environment.

Qualifications

• Experience deploying models using Scikit-learn, TensorFlow, or PyTorch is vital.
• Proficient in cloud architecture with Azure experience.
• Solid foundation in supervised and unsupervised machine learning techniques.

Responsibilities

• Build predictive models using generative AI for market trends.
• Leverage AI for portfolio optimization and risk analysis.
• Automate data extraction for investment decision support.

Skills

Machine Learning Lifecycle

Azure

Python

Docker

Kubernetes

Probability

Statistics

Job description

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Machine Learning Engineer, swindon, wiltshire

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Client:

X4 Technology

Location:

swindon, wiltshire, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

7

Posted:

31.05.2025

Expiry Date:

15.07.2025

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Job Description:

Job Title: Machine Learning Engineer

Location: Fully Remote UK

Job Type: 6 Month Contract + chance for extension

Interview Process: 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.

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!