Machine Learning Engineer

X4 Technology
Leeds
8 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Job Title:Machine 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 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!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.