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- Tasks: Lead the design and optimisation of AI/ML models for blockchain data analysis.
- Company: Join a leading company in blockchain analytics, shaping the future of crypto.
- Benefits: Enjoy remote work flexibility and competitive salary up to £130,000.
- Why this job: Be at the forefront of AI innovation in the exciting world of blockchain and crypto.
- Qualifications: Proven AI/ML experience, expertise in TensorFlow or PyTorch, and strong Python skills required.
- Other info: This role is fully remote but does not offer sponsorship.
The predicted salary is between 78000 - 182000 £ per year.
This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Harnham
Building Data Science and Machine Learning Teams in the UK | The Talent Driving The Data and AI Revolution
Fully Remote
About the Role
Our client, a blockchain analytics scale‑up, is looking for a Senior AI/ML Engineer to join their expanding team. They’re scaling their AI capabilities and need someone passionate about applying cutting‑edge machine learning and LLM techniques to real‑world crypto data.
You’ll work directly with a Staff AI/ML Engineer who has built advanced ML teams in the past, driving projects that power their platform – used by investors to discover opportunities, perform due diligence, and defend portfolios.
Key Responsibilities
- Designing, implementing, and maintaining AI/ML models to analyse blockchain data at scale.
- Translating complex datasets into insights that inform investment and trading strategies.
- Working with product teams to build AI-powered features directly into the core platform.
- Staying on top of developments in AI, ML, and blockchain – and experimenting with new techniques.
- Helping to shape best practices and mentor others as the AI function grows.
Your work will focus on delivering high-value, product-driven AI features, including:
- Automated wallet and address labelling through AI and NLP.
- NFT and asset price estimation models.
- Advanced analytics to detect patterns and behaviours across blockchain data.
- Integrating LLM-based capabilities into customer-facing products.
What We’re Looking For
- 3–6 years of experience in Data Science or ML Engineering.
- Strong Python skills and hands‑on experience building end-to-end ML solutions.
- Interest in blockchain, crypto, or fintech (commercial crypto experience a plus).
- Experience with GCP or similar cloud environments.
- Familiarity with modern LLMs or AI APIs.
- Someone who experiments in their spare time, reads papers, and keeps up with the latest in AI.
- Collaborative and proactive, with the ability to thrive in a remote, fast‑paced environment.
Interview Process
- Culture fit interview.
- Technical discussion with the AI Lead.
- Technical test (general DS/ML best practices).
- Final panel interview.
Seniority level
Mid‑Senior level
Employment type
Full-time
Job function
Financial Services and Technology, Information and Media
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Senior AI Engineer employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and blockchain technologies. This will not only help you during interviews but also demonstrate your genuine interest in the field, which is crucial for a role like this.
✨Tip Number 2
Engage with online communities and forums related to AI and blockchain. Networking with professionals in these spaces can provide valuable insights and potentially lead to referrals or recommendations.
✨Tip Number 3
Prepare to discuss specific projects you've worked on that align with the responsibilities of this role. Be ready to explain your thought process, the challenges you faced, and how you overcame them.
✨Tip Number 4
Showcase your passion for blockchain and crypto in your conversations. Whether it's through personal projects, contributions to open-source, or staying updated with industry news, demonstrating your enthusiasm can set you apart from other candidates.
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML projects, particularly those involving blockchain data analysis. Use specific examples to demonstrate your expertise in frameworks like TensorFlow or PyTorch.
Craft a Compelling Cover Letter: In your cover letter, express your passion for blockchain and crypto. Discuss how your skills align with the role's responsibilities, especially your ability to mentor junior engineers and collaborate across teams.
Showcase Relevant Projects: Include a portfolio or links to relevant projects that showcase your work with AI/ML models. Highlight any experience with large language models and how you've applied them to solve real-world problems.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail during the interview process. Brush up on your knowledge of AI/ML frameworks, data engineering concepts, and how you would approach integrating AI solutions into existing platforms.
How to prepare for a job interview at Harnham
✨Showcase Your AI/ML Expertise
Be prepared to discuss your previous projects in detail, especially those involving AI and machine learning. Highlight specific frameworks you've used, like TensorFlow or PyTorch, and explain how you applied them to solve real-world problems.
✨Demonstrate Your Passion for Blockchain
Since the role is focused on blockchain analytics, make sure to express your enthusiasm for the technology. Share any personal projects or research you've done related to blockchain, crypto, or Web3 to show your genuine interest.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of AI/ML concepts. Brush up on algorithms, model optimisation techniques, and data processing methods to confidently tackle these queries.
✨Emphasise Collaboration Skills
As this role involves working with cross-functional teams, be ready to discuss your experience collaborating with product and engineering teams. Provide examples of how you've successfully integrated AI/ML solutions into existing platforms and enhanced user experiences.
