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Senior ai engineer

Newcastle Upon Tyne (Tyne and Wear)
Harnham Search & Selection
Ai engineer
Posted: 4h ago
Offer description

Senior AI/ML Engineer

Fully Remote

£100,000–£120,000 + benefits


About the Role

Our 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.

Your work will focus on delivering high-value, product-driven AI features, including:

* 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.


What We’re Looking For

* 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.


Interview Process

* Culture fit interview.
* Technical discussion with the AI Lead.
* Technical test (general DS/ML best practices).
* Final panel interview.

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