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- Tasks: Deploy ML models and develop trading signals using blockchain data.
- Company: Leading SaaS platform in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a lean team and make a real impact in the AI/ML space.
- Qualifications: 4+ years of ML experience, Python skills, and cloud exposure.
- Other info: Fast-paced environment with significant ownership and influence.
The predicted salary is between 48000 - 72000 £ per year.
A leading SaaS platform in the UK is hiring a Senior AI/ML Engineer with 4+ years of hands-on ML experience. The role focuses on deploying ML models into production and working with GenAI/LLMs in a fast-paced environment.
Responsibilities include:
- Large-scale wallet labelling
- NFT price estimation
- Developing trading signals built on blockchain data
Ideal candidates will have a strong foundation in data science, Python proficiency, and cloud exposure. This position offers significant ownership and influence within a lean team.
Senior AI/ML Engineer - Blockchain Intelligence in Sheffield employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Engineer - Blockchain Intelligence in Sheffield
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML and blockchain 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 ML projects, especially those related to blockchain. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and data science fundamentals. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior AI/ML Engineer - Blockchain Intelligence in Sheffield
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 4+ years of hands-on ML experience in your application. We want to see how you've deployed ML models into production and any cool projects you've worked on, especially if they relate to blockchain or GenAI!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific skills and experiences mentioned in the job description. We love it when candidates connect their background in data science and Python proficiency directly to our needs.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and how you can contribute to our lean team.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep everything organised and makes sure your application lands in the right hands!
How to prepare for a job interview at Harnham
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with deploying ML models in detail. Be ready to explain the challenges you faced and how you overcame them, especially in a production environment. This will show your hands-on expertise and problem-solving skills.
✨Showcase Your Python Skills
Since Python proficiency is key for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so brush up on your Python syntax and libraries relevant to AI/ML. Practice coding challenges that focus on data manipulation and model implementation.
✨Familiarise Yourself with Blockchain Concepts
Given the focus on blockchain intelligence, make sure you understand the basics of blockchain technology and its applications in AI/ML. Be prepared to discuss how you would approach tasks like wallet labelling or NFT price estimation using blockchain data.
✨Emphasise Team Collaboration
This role offers significant ownership within a lean team, so highlight your experience working collaboratively. Share examples of how you've contributed to team projects, especially in fast-paced environments, and how you handle feedback and adapt to changes.
