Senior AI Engineer in Portsmouth

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.