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For Companies At a Glance
- 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 technology.
- Qualifications: Proven AI/ML experience, expertise in TensorFlow or PyTorch, and strong Python skills required.
- Other info: This role is fully remote and does not offer sponsorship.
The predicted salary is between 78000 - 156000 £ per year.
Senior AI/ML Engineer
Fully Remote
£100,000–£120,000 + benefits
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.
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. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the AI and blockchain sectors. Attend relevant webinars, meetups, or online forums to connect with industry experts who might provide insights or even referrals for the position.
✨Tip Number 3
Prepare to showcase your previous AI/ML projects, especially those related to blockchain data analysis. Be ready to discuss the challenges you faced and how you overcame them, as this will highlight your problem-solving skills.
✨Tip Number 4
Brush up on your communication skills, particularly in a remote setting. Practice explaining complex technical concepts in simple terms, as this will be crucial when collaborating with cross-functional teams.
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 responsibilities of the role, 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: Anticipate technical questions related to AI/ML frameworks and blockchain technologies. Be ready to discuss your problem-solving approach and how you stay updated on emerging trends in the field.
How to prepare for a job interview at Harnham
✨Showcase Your AI/ML Expertise
Be prepared to discuss your previous projects in AI and machine learning, especially those that had a significant impact. Highlight your experience with frameworks like TensorFlow or PyTorch, and be ready to explain how you've applied these tools in real-world scenarios.
✨Demonstrate Problem-Solving Skills
Expect to face technical questions that assess your analytical abilities. Prepare to walk through your thought process when tackling complex problems, particularly those related to blockchain data analysis. This will show your potential employer how you approach challenges.
✨Communicate Effectively
Since the role involves collaboration with product and engineering teams, practice articulating your ideas clearly. Good communication is key, especially in a remote setting. Be ready to discuss how you would mentor junior engineers and share best practices.
✨Stay Updated on Industry Trends
Research the latest developments in AI, ML, and blockchain technologies. Being knowledgeable about current trends will not only impress your interviewers but also demonstrate your passion for the field. Prepare to discuss how you can apply these trends to the company's objectives.
