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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. We love seeing real-world applications of your work, so make sure to highlight those achievements when chatting with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML concepts. We recommend doing mock interviews with friends or using online platforms to simulate the experience. Confidence is key!
✨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’re always on the lookout for passionate candidates ready to dive into the world of blockchain analytics.
We think you need these skills to ace Senior MLE - Blockchain AI
Some tips for your application 🫡
Show Your Passion for Blockchain: When you're writing your application, let your enthusiasm for blockchain and AI shine through. We want to see that you’re not just skilled but also genuinely excited about the work we do at StudySmarter.
Highlight Relevant Experience: Make sure to showcase your experience with ML models and any projects you've worked on that relate to blockchain analytics. We love seeing real-world applications of your skills, so don’t hold back!
Tailor Your Application: Don’t send a generic application! Take the time to tailor your CV and cover letter to our job description. We appreciate when candidates take the effort to align their experiences with what we’re looking for.
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 you’re keen to join our team!
How to prepare for a job interview at Harnham
✨Know Your Stuff
Make sure you brush up on your knowledge of blockchain and AI/ML concepts. Be ready to discuss specific projects you've worked on, especially those involving complex datasets or innovative ML models. This will show that you’re not just familiar with the theory but have practical experience too.
✨Show Your Passion for Crypto
Since the role involves working in the crypto space, it’s crucial to demonstrate your interest in blockchain technology. Share any personal projects, research, or insights you have about the industry. This will help you stand out as someone who is genuinely excited about the field.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on Python, TensorFlow, and PyTorch, and be prepared to explain your approach to building and scaling ML models. Practising coding challenges or discussing your thought process on past projects can really help here.
✨Emphasise Collaboration Skills
This role requires working closely with engineering and product teams, so highlight your experience in collaborative environments. Be ready to discuss how you’ve successfully integrated ML models into products and how you mentor others in best practices. This shows you’re a team player who can contribute to a lean, senior team.
