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- Tasks: Build and improve ML models on large-scale blockchain datasets.
- Company: High-growth SaaS platform delivering institutional-grade blockchain intelligence.
- Benefits: Competitive salary, equity, fully remote work, and bonus opportunities.
- Why this job: Join a senior team and shape the future of AI in crypto.
- Qualifications: 4+ years in Data Science/ML, strong Python skills, and cloud experience.
- Other info: Fast-paced environment with real ownership and impact.
The predicted salary is between 81000 - 162000 £ 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 in Warrington employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior MLE - Blockchain AI in Warrington
✨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 projects, especially those related to blockchain or GenAI. We love seeing real-world applications of your work, so make sure to highlight any models you've deployed.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML fundamentals and cloud deployment strategies. We recommend practicing coding challenges and discussing your past projects to demonstrate your hands-on experience.
✨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 who are eager to dive into the world of blockchain and AI.
We think you need these skills to ace Senior MLE - Blockchain AI in Warrington
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 4+ years of hands-on ML experience. We want to see how you've deployed models into production and any work you've done with GenAI or LLMs. Use specific examples to demonstrate your skills!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect your interest in crypto and blockchain. We love seeing candidates who are genuinely excited about applying ML to complex on-chain data.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s relevant. Make it easy for us to see why you’re a great 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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Harnham
✨Know Your ML Stuff
Make sure you brush up on your machine learning fundamentals. Be ready to discuss your hands-on experience with ML models, especially in production. Prepare examples of how you've deployed models and the challenges you faced.
✨Show Your Passion for Blockchain
Since this role is all about applying ML to blockchain data, demonstrate your genuine interest in crypto and blockchain technology. Share any personal projects or research you've done in this area to show you're not just in it for the job.
✨Familiarise Yourself with GenAI and LLMs
Given the focus on GenAI and LLMs, be prepared to discuss your experience with these technologies. Think of specific instances where you've applied them and how they can add value to the product you're interviewing for.
✨Ask Insightful Questions
Prepare thoughtful questions that show your understanding of the company's goals and challenges. Inquire about their current ML projects, team dynamics, and how they envision the future of AI in their platform. This shows you're serious about contributing to their success.
