Machine Learning Engineer

JR United Kingdom; Milton Keynes; Remote; GBP 45,000 - 75,000; Full time

Job summary

A reputed Private Equity firm is seeking a Machine Learning Engineer for an initial 6-month contract to optimize portfolio and risk management using AI. You will collaborate remotely, developing predictive models and automating data analysis. Applicants should have solid Azure experience and a strong grasp of machine learning principles.

Qualifications

• Demonstratable experience in Azure is a must.
• Comprehensive understanding of machine learning lifecycle required.
• Proficiency in Python with software engineering best practices.

Responsibilities

• Build predictive models for market trends and investment opportunities using generative AI.
• Automate data extraction and analysis from financial reports.
• Help in the adoption of AI tools to optimize operations.

Skills

Machine Learning Lifecycle

Scikit-learn

TensorFlow

PyTorch

Python

Cloud Architecture

Docker

Kubernetes

Probability and Statistics

Job description

Social network you want to login/join with:

col-narrow-left

Client:

X4 Technology

Location:

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

7

Posted:

31.05.2025

Expiry Date:

15.07.2025

col-wide

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!