Senior MLE - Blockchain AI

Harnham; Leeds; On-site; GBP 60,000 - 80,000; Full time

Job summary

A high-growth SaaS platform in the UK is looking for a Senior AI/ML Engineer with 4+ years of hands-on ML experience. This role focuses on deploying models in production while working with modern ML tooling and engaging in crypto/blockchain data applications. The ideal candidate will have strong foundations in data science and a passion for leveraging AI insights in the financial sector. Join a fast-paced environment with a small, dedicated team.

Qualifications

• 4-7+ years of professional experience in Data Science / ML roles.
• Hands-on experience with ML models in production.
• Cloud & MLOps exposure (GCP preferred; AWS/Azure acceptable).
• Clear interest in crypto / blockchain.

Responsibilities

• Join a small, senior AI/ML team working on core product features.
• Engage in large-scale wallet labeling and behavioral analysis.
• Contribute to NFT price estimation using ML.

Skills

Data science foundations

Python

Modern ML tooling

Cloud deployment

GenAI / LLMs experience

Tools

scikit-learn

XGBoost

TensorFlow

PyTorch

Job description

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?

A Series B,ავს, 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_fake …

The environment is fast moving, product‑led, and AI‑first, with genuine room to shape how ML is applied across the platform.

Requirements

• 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 (commercialల్లి experience a plus, curiosity required)

Responsibilities

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