Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement cutting-edge AI/ML models for blockchain data analysis.
- Company: Join a fast-growing blockchain analytics scale-up with a remote-first culture.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make an impact in the crypto world using advanced AI techniques.
- Qualifications: 3-6 years in Data Science or ML Engineering with strong Python skills.
- Other info: Collaborative environment with mentorship opportunities and exciting projects.
The predicted salary is between 86000 - 103000 £ per year.
Our client, a blockchain analytics scale-up, is looking for a Senior AI/ML Engineer to join their expanding team. They are scaling their AI capabilities and need someone passionate about applying cutting-edge machine learning and LLM techniques to real-world crypto data.
You will 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.
- 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.
- Culture fit interview.
- Technical discussion with the AI Lead.
- Technical test (general DS/ML best practices).
- Final panel interview.
Senior AI Engineer in Oxford employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer in Oxford
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and blockchain 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 your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those related to blockchain. We love seeing real-world applications of your work, so make sure to highlight any innovative solutions you've developed.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with Python and ML solutions. We recommend practicing common interview questions and even doing mock interviews with friends.
✨Tip Number 4
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 AI and blockchain.
We think you need these skills to ace Senior AI Engineer in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI Engineer role. Highlight your experience with AI/ML models, especially in blockchain or crypto, and showcase any relevant projects that demonstrate your skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for AI and blockchain, and explain why you’re excited about this opportunity at StudySmarter. Be genuine and let your personality come through.
Showcase Your Projects: If you've worked on any interesting AI/ML projects, make sure to mention them! Whether it's automated wallet labelling or advanced analytics, we want to see how you've applied your skills in real-world scenarios.
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 during the process!
How to prepare for a job interview at Harnham
✨Know Your AI Stuff
Make sure you brush up on the latest AI and ML techniques, especially those related to blockchain. Be ready to discuss your experience with Python and any end-to-end ML solutions you've built. This is your chance to show off your technical chops!
✨Show Your Passion for Crypto
Since the role involves working with crypto data, it’s crucial to demonstrate your interest in blockchain and fintech. Share any personal projects or experiments you've done in this space. It’ll show that you’re not just looking for a job, but that you genuinely care about the industry.
✨Prepare for Technical Challenges
Expect a technical test during the interview process. Brush up on general data science and ML best practices. Practise coding problems and be ready to explain your thought process as you solve them. This will help you stand out as a strong candidate.
✨Be Collaborative and Proactive
This role requires someone who thrives in a remote environment. Prepare examples of how you've worked collaboratively in the past, especially in fast-paced settings. Highlight your proactive approach to problem-solving and mentoring others, as this will resonate well with the team.
