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- Tasks: Design AI models and analyse real-world crypto data using cutting-edge techniques.
- Company: A fast-growing blockchain analytics scale-up with a focus on innovation.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the exciting world of blockchain technology.
- Qualifications: Experience in Data Science, strong Python skills, and a passion for blockchain.
- Other info: Collaborative environment with a focus on enhancing machine learning capabilities.
The predicted salary is between 43200 - 72000 £ per year.
A blockchain analytics scale-up is seeking a Senior AI/ML Engineer to enhance their machine learning capabilities. The successful candidate will apply cutting-edge techniques to analyze real-world crypto data.
Responsibilities include:
- Designing AI models
- Translating complex datasets into insights
- Collaborating with product teams
Ideal candidates will have experience in Data Science, strong Python skills, and an interest in blockchain technology. The position offers a fully remote work setup and competitive salary.
Remote Senior AI/ML Engineer - Blockchain Analytics employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Senior AI/ML Engineer - Blockchain Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in the blockchain and AI/ML space on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI models and projects related to blockchain analytics. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common AI/ML questions and blockchain concepts. Practice explaining your past projects and how they relate to the role you're applying for.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to submit your application and showcase your passion for AI/ML and blockchain technology.
We think you need these skills to ace Remote Senior AI/ML Engineer - Blockchain Analytics
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in Data Science and Python. We want to see how you've used these skills in real-world projects, especially if they relate to AI or blockchain!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the job description. Mention specific techniques or projects that align with our needs in blockchain analytics.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s relevant. Make it easy for us to see why you’re a great fit!
Apply Through Our Website: We encourage you to apply directly through our website. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Harnham
✨Know Your AI/ML Stuff
Make sure you brush up on the latest AI and machine learning techniques, especially those relevant to blockchain analytics. Be ready to discuss your previous projects and how you've applied these technologies to solve real-world problems.
✨Show Off Your Python Skills
Since strong Python skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data manipulation tasks beforehand.
✨Understand Blockchain Basics
Even if you're not a blockchain expert, having a solid understanding of the technology will set you apart. Familiarise yourself with key concepts and current trends in the crypto space, as this will help you connect your AI/ML work to the broader context.
✨Collaborate Like a Pro
This role involves working closely with product teams, so be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with cross-functional teams to deliver insights from complex datasets.
