Senior AI Engineer
Listed on 2026-02-16
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay rangeDirect message the job poster from Harnham
Building Data Science and Machine Learning Teams in the UK | The Talent Driving The Data and AI RevolutionFully Remote
About the RoleOur client, a blockchain analytics scale‑up, is looking for a Senior AI/ML Engineer to join their expanding team. They’re scaling their AI capabilities and need someone passionate about applying cutting‑edge machine learning and LLM techniques to real‑world crypto data.
You’ll work directly with a Staff AI/ML Engineer who has built advanced ML teams in the past, driving projects that power their platform – used by investors to discover opportunities, perform due diligence, and defend portfolios.
Key Responsibilities- Designing, implementing, and maintaining AI/ML models to analyse blockchain data at scale.
- Translating complex datasets into insights that inform investment and trading strategies.
- Working with product teams to build AI-powered features directly into the core platform.
- Staying on top of developments in AI, ML, and blockchain – and experimenting with new techniques.
- Helping to shape best practices and mentor others as the AI function grows.
- Automated wallet and address labelling through AI and NLP.
- NFT and asset price estimation models.
- Advanced analytics to detect patterns and behaviours across blockchain data.
- Integrating LLM-based capabilities into customer-facing products.
- 3–6 years of experience in Data Science or ML Engineering.
- Strong Python skills and hands‑on experience building end-to-end ML solutions.
- Interest in blockchain, crypto, or fintech (commercial crypto experience a plus).
- Experience with GCP or similar cloud environments.
- Familiarity with modern LLMs or AI APIs.
- Someone who experiments in their spare time, reads papers, and keeps up with the latest in AI.
- Collaborative and proactive, with the ability to thrive in a remote, fast‑paced environment.
- Culture fit interview.
- Technical discussion with the AI Lead.
- Technical test (general DS/ML best practices).
- Final panel interview.
Mid‑Senior level
Employment typeFull-time
Job functionFinancial Services and Technology, Information and Media
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