Machine Learning Engineer

JR United Kingdom; Basingstoke; On-site; GBP 125,000 - 150,000; Full time

Job summary

A leading Private Equity firm is looking for a Machine Learning Engineer for an initial 6-month contract. The successful candidate will leverage AI to optimize portfolios and automate data analysis, working primarily within an Azure environment. This role is ideal for those with strong experience in machine learning deployment and cloud architecture, aiming to make significant contributions to investment strategies.

Qualifications

• Strong technical expertise in cloud architecture and deployment, particularly Azure.
• Experience deploying machine learning models using specific frameworks.
• Comprehensive understanding of the machine learning lifecycle.

Responsibilities

• Build predictive models using generative AI for market trends.
• Automate data extraction from various sources for investment decisions.
• Simulate market conditions to generate optimal strategies.

Skills

Machine Learning Lifecycle

Python

Azure

Data Extraction and Analysis

Probability and Statistics

AI Algorithms

Tools

Scikit-learn

TensorFlow

PyTorch

Docker

Kubernetes

Job description

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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!