Machine Learning Engineer

JR United Kingdom; Bolton; Remote; GBP 50,000 - 75,000; Full time

Job summary

A Private Equity firm in the UK seeks a Machine Learning Engineer for an initial 6-month contract. The role focuses on portfolio optimisation, risk management, and predictive modelling within an Azure environment. Ideal candidates will have extensive experience across the machine learning cycle and solid technical expertise in AI and cloud technologies.

Qualifications

• Comprehensive understanding of full machine learning lifecycle.
• Experience deploying ML models using frameworks like Scikit-learn, TensorFlow, or PyTorch.
• Strong technical expertise in cloud architecture, especially Azure.

Responsibilities

• Build predictive models for market trends and investment opportunities using generative AI.
• Leverage AI algorithms for portfolio optimisation and risk analysis.
• Automate data extraction and analysis from multiple sources.

Skills

Machine Learning Lifecycle

Azure

Python

Docker

Kubernetes

Statistics

Scikit-learn

TensorFlow

PyTorch

Job description

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Machine Learning Engineer, bolton, greater manchester

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Client:

X4 Technology

Location:

bolton, greater manchester, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

16

Posted:

06.06.2025

Expiry Date:

21.07.2025

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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!