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- Tasks: Build and scale AI/ML models for blockchain analytics and collaborate on innovative projects.
- Company: High-growth SaaS platform revolutionising blockchain insights.
- Benefits: Competitive salary, equity options, performance bonuses, and fully remote work.
- Why this job: Join a senior team and shape the future of AI in crypto.
- Qualifications: 3-6+ years in data science/ML, strong Python skills, and interest in blockchain.
- Other info: Dynamic startup environment with opportunities for mentorship and growth.
The predicted salary is between 78000 - 90000 £ per year.
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, 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.
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 (commercial experience a plus, curiosity required)
Responsibilities
- 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
Key details
- 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
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.
Interested? Please apply below.
Senior MLE - Blockchain AI employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior MLE - Blockchain AI
✨Tip Number 1
Network like a pro! Reach out to folks in the blockchain and AI space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML models and projects related to blockchain analytics. We want to see what you can do, so make it easy for potential employers to check out your work.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with Python, GCP, and ML lifecycle. We recommend practicing common interview questions and even doing mock interviews with friends.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior MLE - Blockchain AI
Some tips for your application 🫡
Show Your Passion for Blockchain: When writing your application, let us know why you're excited about blockchain and AI. Share any personal projects or experiences that highlight your interest in this space. We love seeing candidates who are genuinely passionate about what we do!
Highlight Relevant Experience: Make sure to showcase your experience with ML models and Python. We want to see how you've tackled real-world data problems in the past. Use specific examples to demonstrate your skills and how they align with our needs.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what matters most. A well-structured application makes it easier for us to see your potential fit for the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Harnham
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, GCP, and the ML frameworks mentioned in the job description. Brush up on your end-to-end ML lifecycle knowledge and be ready to discuss specific projects where you've built and deployed models. This will show that you can hit the ground running.
✨Show Your Passion for Blockchain
Since this role is all about blockchain analytics, it’s crucial to demonstrate your interest in the crypto space. Share any relevant experiences or projects you've worked on, even if they were personal or academic. This will help you connect with the interviewers and show that you’re genuinely excited about the industry.
✨Prepare for Problem-Solving Questions
Expect to tackle some challenging problems during the interview. Practice explaining your thought process when solving complex data issues, especially those related to blockchain datasets. This will highlight your analytical skills and ability to apply modern AI/LLM techniques effectively.
✨Emphasise Collaboration and Mentorship
As part of a small team, your ability to collaborate and mentor others will be key. Be prepared to discuss how you've worked with cross-functional teams in the past and how you’ve guided best practices in AI/ML development. This will show that you’re not just a tech whiz but also a team player.
