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- Tasks: Build and scale AI/ML models for blockchain analytics and collaborate on innovative projects.
- Company: High-growth SaaS platform known as the Bloomberg for crypto.
- Benefits: Competitive salary, equity options, performance bonuses, and fully remote work.
- Why this job: Join a senior team shaping the future of AI in blockchain with impactful projects.
- Qualifications: 3-6+ years in data science/ML, strong Python skills, and interest in crypto/blockchain.
- Other info: Dynamic startup environment with opportunities for mentorship and career 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 suggest 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 take the initiative to connect directly with us.
We think you need these skills to ace Senior MLE - Blockchain AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior MLE role. Highlight your experience with ML models, especially in blockchain or similar fields, to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about working on blockchain analytics. Share specific examples of projects you've worked on that relate to the responsibilities listed in the job description.
Showcase Your Technical Skills: Don’t hold back on showcasing your Python and ML expertise! Include any relevant projects or contributions to open-source that demonstrate your hands-on experience with AI/LLM techniques.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Harnham
✨Know Your Stuff
Make sure you brush up on your knowledge of blockchain technology and machine learning models. Be ready to discuss specific projects you've worked on, especially those that involved complex datasets or innovative AI techniques. This will show your passion and expertise in the field.
✨Showcase Your Problem-Solving Skills
Prepare to talk about real-world problems you've solved using ML models. Think of examples where your work had a significant impact, particularly in areas like wallet labelling or price estimation. This will demonstrate your ability to apply your skills effectively in a practical setting.
✨Collaborate Like a Pro
Since this role involves working closely with engineering and product teams, be ready to discuss how you've collaborated in the past. Highlight any experiences where you successfully integrated ML models into products, as this will show you're a team player who can drive results.
✨Stay Curious and Open-Minded
The company values curiosity and experimentation, so express your eagerness to explore modern AI/LLM techniques. Share any recent trends or tools you've been experimenting with, and be prepared to discuss how you can bring that innovative mindset to their team.
