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Permanent

ML/AI Developer for Fully Autonomous Trading System – Institutional-Grade

London
money-bag Negotiable
006679FB065683A55669154094E9D903
Posted 2 days ago

Overview

Who we are: We are a professional and rapidly growing trading firm and investment fund operating in Forex, futures, and crypto markets. Our mission is to deploy robust, intelligent trading systems that run independently and generate consistent returns. We are now seeking a top-tier developer to build a production-ready solution powered by machine learning and smart decision-making.What we need

A Complete Set and Forget Trading System

We''re looking for a developer to design and build a fully autonomous system that:Continuously scans all asset classes — Forex, commodities, stocks, indices, crypto — and chooses the best trades in real timeCombines technical and fundamental analysis, with the ability to interpret breaking news or macro events using NLP (e.g., GPT-based logic)Incorporates smart capital allocation, dynamic position sizing, exposure control, and strict drawdown limitsRuns 24/5 on a cloud server (not local desktop) with self-monitoring, logging, and failover recovery mechanismsIncludes backtesting framework, performance reporting, trade logs, and email alertsIs designed to be portable, starting with MetaTrader 5 but easily adaptable to Interactive Brokers, Binance, or other APIs

Important: We''re NOT looking for a toy or experimental bot. We need a battle-ready, set-and-forget trading system that:Analyzes both technical signals and fundamental news/eventsIs proven to be profitable over time, through real-world usage or verified backtestsRequires minimal human interventionIs architected for scalability and long-term deploymentIf your system doesn’t meet these core expectations, please do not apply.Technical Requirements

Python: pandas, NumPy, scikit-learn, TensorFlow or PyTorchBroker API experience: MetaTrader 5 (required), NinjaTrader, Interactive Brokers, BinanceStrong knowledge of: Algorithmic trading and quantitative strategiesMachine Learning for financial time seriesNatural Language Processing (for interpreting news or macro headlines)Cloud deployment (AWS, Docker, monitoring) — a big plusYour Role

Build the entire system pipeline: from data intake ? signal generation ? execution ? risk management ? reportingDesign the modular strategy frameworkDeploy and test in a live VPS environmentDeliver weekly updates, transparent communication, and clean documentationWork Structure

Remote OKTimezone flexibility allowedOpen to fixed price onlyQuick onboarding process — ready to start ASAPTo apply

To apply, please send: A brief summary of your experience with algorithmic trading / ML for finance; Any code samples or systems you''ve built that match this type of project; If possible, a quick draft of how you''d approach the architecture (optional but helpful).

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