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- Tasks: Design and manage AI models to analyse blockchain data for cryptocurrency insights.
- Company: Join a leading cryptocurrency analytics firm focused on AI and ML advancements.
- Benefits: Enjoy remote work flexibility and the chance to influence cutting-edge technology.
- Why this job: Be part of a dynamic team shaping the future of blockchain analytics and mentoring others.
- Qualifications: Experience in AI/ML model design and a passion for blockchain technology required.
- Other info: Opportunity to collaborate with cross-functional teams and stay ahead in tech trends.
The predicted salary is between 48000 - 72000 £ per year.
We are collaborating with a cryptocurrency analytics firm that assists clients in identifying market opportunities, conducting due diligence, and protecting portfolios. The company is expanding its strategic capabilities in AI & ML.
They are seeking a skilled and driven Senior AI/ML Engineer to join their team. In this position, you will design and manage AI models to process extensive blockchain data, identifying patterns and insights that guide decision-making for cryptocurrency investors. Your work will be essential in enhancing the platform's functionality, ensuring the delivery of a cutting-edge product to users. Your expertise will be instrumental in influencing the technology's evolution and solidifying the company's status as a leader in blockchain analytics.
You will need:
- Spearhead the design, implementation, and deployment of AI/ML models to analyze blockchain data, ensuring optimal performance and scalability.
- Work alongside product managers and engineers to integrate AI/ML models into the platform, boosting its analytical capabilities and enhancing the user experience.
- Stay up-to-date with the latest advancements in AI/ML and blockchain technologies, applying creative solutions to tackle complex challenges.
- Mentor junior engineers and foster best practices in AI/ML development within the team.
- Collaborate with cross-functional teams to ensure AI/ML projects align with business goals and customer requirements.
Machine Learning Engineer employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially as they relate to blockchain technology. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your experience with specific AI/ML tools and frameworks that are relevant to the cryptocurrency sector. Being able to discuss your hands-on experience with these technologies can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the cryptocurrency and AI/ML fields. Attend relevant webinars, workshops, or meetups to connect with industry experts and learn about potential job openings before they are advertised.
✨Tip Number 4
Prepare to discuss real-world applications of your work in AI/ML, particularly how it can enhance decision-making for cryptocurrency investors. Having concrete examples ready will demonstrate your understanding of the industry's needs.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI and machine learning, particularly any work related to blockchain data. Use specific examples of projects you've worked on that demonstrate your skills in designing and deploying AI/ML models.
Craft a Compelling Cover Letter: In your cover letter, express your passion for cryptocurrency and AI/ML technologies. Discuss how your background aligns with the company's mission and how you can contribute to their goals. Be sure to mention any experience mentoring others, as this is a key aspect of the role.
Showcase Your Technical Skills: Include a section in your application that lists your technical skills relevant to the position, such as programming languages (Python, R), frameworks (TensorFlow, PyTorch), and any experience with blockchain technologies. This will help the hiring team quickly see your qualifications.
Demonstrate Continuous Learning: Mention any recent courses, certifications, or workshops you've completed related to AI/ML or blockchain. This shows your commitment to staying updated with industry trends and your proactive approach to professional development.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI and ML models, particularly in relation to blockchain data. Highlight specific projects you've worked on, the challenges you faced, and how you overcame them.
✨Understand the Company’s Focus
Research the cryptocurrency analytics firm and understand their products and services. Familiarise yourself with their approach to AI/ML and be ready to discuss how your skills can enhance their platform.
✨Demonstrate Problem-Solving Abilities
Expect to face technical challenges during the interview. Be ready to think on your feet and demonstrate your problem-solving process, showcasing your ability to apply creative solutions to complex issues.
✨Emphasise Collaboration and Mentorship
Since the role involves working with cross-functional teams and mentoring junior engineers, share examples of how you've successfully collaborated in the past and how you approach mentoring others in AI/ML best practices.
