Senior MLE - Blockchain AI

• Build, train, and improve ML models on large-scale blockchain datasets
• Take models from exploration to production, working closely with engineering
• Apply GenAI / LLM approaches where they add real product value
• Maintain high DS/ML standards across experimentation, monitoring, and iteration
• Contribute to best practices in a lean, senior AI team

Do you have 4+ years of hands-on ML experience and enjoy deploying models into production?

Have you worked with GenAI / LLMs and modern ML tooling in real systems?

Are you interested in crypto, blockchain, and applying ML to complex on-chain data?, * 4-7+ years of professional experience in Data Science / ML roles

• Strong data science foundations (EDA, feature engineering, model evaluation, validation)
• Hands-on experience with ML models in production
• Cloud & MLOps exposure (GCP preferred; AWS/Azure acceptable)
• Experience with GenAI / LLMs (commercial or serious hands-on experimentation)
• Strong Python and modern ML tooling (e.g. scikit-learn, XGBoost, TensorFlow or PyTorch)
• Clear interest in crypto / blockchain (commercial experience a plus, curiosity required), If you're a senior ML engineer with strong DS fundamentals, real deployment experience, and a genuine interest in crypto, this is a high-impact role with a lot of ownership.

• Salary: up to ~£135k base + equity (4-year vest, 1-year cliff) + bonus
• Location: Fully remote (UK)
• Stack: Python, GCP, ML frameworks, LLM APIs
• Visa: Cannot sponsor
• Team: Senior, small, highly technical

A Series B, high-growth SaaS platform delivering institutional-grade blockchain intelligence is hiring a Senior AI/ML Engineer. Often described as the Bloomberg for crypto, the platform helps investors discover opportunities, perform due diligence, and defend portfolios using AI-driven insights. This is a senior, hands-on role for someone strong across data science, applied ML, and cloud deployment, who wants to work in a lean team with real ownership. Why join? You'll join a small, senior AI/ML team working on core product features such as: * Large-scale wallet labelling and behavioural analysis * NFT price estimation using ML * Trading and risk signals built on blockchain data The environment is fast-moving, product-led, and AI-first, with genuine room to shape how ML is applied across the platform.