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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 innovations.
- Benefits: Enjoy remote work flexibility and the chance to shape cutting-edge technology.
- Why this job: Be at the forefront of blockchain analytics, influencing technology and user experience.
- Qualifications: Experience in AI/ML model design and a passion for blockchain technology required.
- Other info: Opportunity to mentor junior engineers and collaborate with diverse teams.
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
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network with professionals in the cryptocurrency and AI/ML fields. Attend relevant meetups, webinars, or conferences to connect with industry experts and learn about potential job openings that may not be advertised.
✨Tip Number 2
Showcase your projects related to AI and blockchain on platforms like GitHub. Having a strong portfolio can demonstrate your skills and experience to potential employers, making you stand out as a candidate.
✨Tip Number 3
Stay updated on the latest trends in AI/ML and blockchain technology. Follow influential thought leaders on social media and subscribe to relevant newsletters to keep your knowledge fresh and relevant.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and system design problems specifically related to AI/ML applications. This will help you demonstrate your problem-solving skills effectively during the interview process.
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 analysis. Use specific examples of projects you've worked on that demonstrate your skills.
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 goals and how you can contribute to their mission of enhancing blockchain analytics.
Showcase Your Technical Skills: Include a section in your application that outlines your technical skills, such as programming languages (e.g., Python, R), frameworks (e.g., TensorFlow, PyTorch), and any relevant tools or platforms you are proficient in.
Highlight Collaborative Experience: Since the role involves working with cross-functional teams, emphasise any previous experience you have in collaborative projects. Mention how you’ve successfully integrated AI/ML models into existing systems and improved user experiences.
How to prepare for a job interview at Harnham
✨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 technologies you used, and the outcomes achieved.
✨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 how it integrates with blockchain technology to demonstrate your genuine interest.
✨Prepare for Problem-Solving Questions
Expect to tackle complex challenges during the interview. Practice explaining your thought process when designing and implementing AI/ML models, and be ready to discuss how you would approach specific problems related to blockchain data analysis.
✨Emphasise Collaboration and Mentorship
Since the role involves working with cross-functional teams and mentoring junior engineers, be sure to share examples of how you've successfully collaborated in the past and how you approach mentoring others in technical environments.
