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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 your hands-on experience, so make sure it’s easy for potential employers to find your work.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects in detail. We recommend practising common ML and blockchain-related questions to really impress the interviewers.
✨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 forget to mention your proficiency in Python and any relevant ML frameworks like TensorFlow or PyTorch. We want to see how you’ve applied these skills in real-world scenarios, so be specific!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Harnham
✨Know Your Blockchain Basics
Make sure you brush up on your blockchain knowledge before the interview. Understand key concepts and current trends in the industry, especially how they relate to AI and ML. This will show your genuine interest and help you engage in meaningful discussions.
✨Showcase Your ML Projects
Prepare to discuss specific ML models you've built and deployed. Be ready to explain the challenges you faced, the solutions you implemented, and the impact of your work. This is your chance to demonstrate your hands-on experience and problem-solving skills.
✨Familiarise with Their Tech Stack
Since the role involves Python, GCP, TensorFlow/PyTorch, and LLM APIs, make sure you're comfortable discussing these technologies. If you have experience with any of them, be prepared to share examples of how you've used them in past projects.
✨Ask Insightful Questions
Prepare thoughtful questions about their AI/ML initiatives and future projects. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals. Think about what you want to learn and how you can contribute to their mission.
