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Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with 5+ years of experience in ML/AI, proficient in Python and frameworks like TensorFlow or PyTorch. Contract duration exceeds 6 months, offering £450 - 500 p/d, based in London (Hybrid).
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
💰 - Day rate
Unknown
Unknown
363
🗓️ - Date discovered
March 29, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
Fixed Term
🔒 - Security clearance
Unknown
📍 - Location detailed
London Area, United Kingdom
🧠 - Skills detailed
#ML (Machine Learning) #AI (Artificial Intelligence) #AWS (Amazon Web Services) #GCP (Google Cloud Platform) #"ETL (Extract #Transform #Load)" #Python #Azure #TensorFlow #PyTorch #Cloud
Role description
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Machine Learning Engineer - Shape the Future of Fintech Contract Role

London (Hybrid)

£450 - 500 p/d (Outside IR35)

Are you ready to disrupt the financial world with cutting-edge AI? Join forces with a trailblazing AI company based in London who are partnered closely with FinTech Clients, where innovation meets ambition. They're on a mission to redefine financial services, tackling real-world challenges like fraud detection, credit scoring, and predictive analytics through revolutionary machine learning solutions.

What You’ll Be Up To:

   • Build, fine-tune, and deploy advanced machine learning models that drive real impact.

   • Work hand-in-hand with cross-functional teams to craft transformative AI-driven solutions.

   • Stay ahead of the curve, diving into the latest ML/AI trends to push the boundaries of fintech innovation.

What We’re Looking For:

   • Experience: 5+ years in ML/AI, with a strong command of Python and frameworks like TensorFlow or PyTorch.

   • Cloud Expertise: Proficiency in platforms such as AWS, GCP, or Azure.

   • Fintech Enthusiast: Previous experience in fintech or insurance is a big plus.

   • Problem-Solver Extraordinaire: Passionate about tackling challenges in a fast-moving, dynamic environment.

If you’re a Machine Learning Engineer eager to leave your mark on the future of financial and AI technology, Please apply and we can have a further chat!