Machine Learning Engineer (Remote)

Other
Salary: Competitive Salary
Job Type: Full time
Experience: Senior Level

Tothemoon

Machine Learning Engineer (Remote)

Machine Learning Engineer | Tothemoon | UK

About Tothemoon

Tothemoon is a user-centric, multiservice digital assetstrading platform. At Tothemoon, we prioritize what matters most in finance:reliability. Whether it’s buying, selling, exchanging, or investing in...

Machine Learning Engineer | Tothemoon | UK

About Tothemoon

Tothemoon is a user-centric, multiservice digital assets trading platform. At Tothemoon, we prioritize what matters most in finance: reliability. Whether it’s buying, selling, exchanging, or investing in cryptocurrencies, you can trust us to protect your financial interests and propel you towards a prosperous future. Join a rapidly growing community of users who choose Tothemoon for their digital transactions.

One of our products is a fast-growing, crypto-native investment fund focused entirely on DeFi. We see DeFi as a dynamic space with fewer competitive players, where traditional finance is slow to adapt due to regulatory constraints. This creates a unique opportunity to disrupt the market with innovative, AI-driven trading systems.

Our fund was founded by a seasoned tech entrepreneur with successful ventures in payments, crypto exchanges, and stablecoins. He’s bringing that experience to DeFi, where we believe the future of trading will be shaped by AI and machine learning, pushing the boundaries of what’s possible in decentralized markets.

Historically, financial markets were dominated by institutional players. With technology, retail traders gained access, and today, nearly 50% of trading is driven by algorithms. While quants still generate signals, we believe the next step is the rise of AI agents and autonomous bots that can make real-time, adaptive trading decisions, removing the human delay and making traditional models obsolete.

We’re on a mission to build the future of trading in DeFi by creating AI-driven systems that trade autonomously and scale with the market, reducing human involvement. Machine learning will be at the heart of our trading strategies, pushing the boundaries of quantitative research and providing smarter, more scalable solutions.

Note: No experience in trading or DeFi is required. We’re a tech company at our core and are looking for candidates with experience in fast-moving, data-driven environments.

What You’ll Do:

We’re seeking a Machine Learning Engineer with experience deploying pre-trained models, particularly reinforcement learning (RL) or other machine learning techniques, in production systems. Your background may include working with time series data in areas like forecasting traffic for social media, e-commerce, or similar fields.

In this role, you’ll deploy and optimize ML models for real-time trading systems. You’ll collaborate closely with our quantitative researchers to integrate these models into live environments, ensuring they scale effectively in the DeFi market. Your work will help drive the AI-powered trading strategies that will shape how we approach trading in DeFi.

Why Join Us?

  • Competitive salarythat reflects your value
  • Blended work– work from home or at our amazing office with the breathtaking sea view
  • Paid holidaysto relax and recharge
  • Opportunities forcontinuous learningandcareer growth
  • A dynamic, inclusive team that values creativity, humor, andout-of-the-boxthinking

We offer competitive compensation, with the possibility of profit-sharing based on your contributions to building and refining our trading strategies. As one of the first ML Engineers or ML Research Scientists to join the team, you’ll have the opportunity to shape our vision and share in the success as we grow.

At Tothemoon, we embrace diversity, equity, and inclusion. No matter who you are or where you’re from, we encourage you to bring your talents to the table. We assess candidates purely on their professional skills and experience.

Are you ready to help us shape the future of crypto? Apply today!

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Tagged as: remote, remote job, virtual, Virtual Job, virtual position, Work at Home, work from home

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