Machine Learning Engineer
Machine Learning Engineer

Machine Learning Engineer

Kingston upon Hull Full-Time 48000 - 72000 £ / year (est.) Home office possible
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At a Glance

  • 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 innovation.
  • Benefits: Remote work, competitive salary, and opportunities for professional growth.
  • Why this job: Make a real impact in the evolving world of blockchain and cryptocurrency.
  • Qualifications: Experience in AI/ML engineering and a passion for blockchain technology.
  • Other info: Collaborative environment with mentorship opportunities and cutting-edge projects.

The predicted salary is between 48000 - 72000 £ per year.

AI Engineer / ML Engineer – CRYPTO – REMOTE

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. As a Senior AI/ML Engineer, 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.

Desired Skills and Experience
AI Engineering, ML Engineering, Data Science, Crypto, Blockchain

Machine Learning Engineer employer: Harnham

Join a forward-thinking cryptocurrency analytics firm that prioritises innovation and employee growth. With a remote work culture that fosters collaboration and creativity, you'll have the opportunity to lead cutting-edge AI/ML projects while mentoring junior engineers. The company offers competitive benefits and a dynamic environment where your contributions directly impact the evolution of blockchain technology.
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Contact Detail:

Harnham Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Machine Learning Engineer

✨Tip Number 1

Network like a pro! Reach out to folks in the crypto and AI/ML space on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those related to blockchain. This will give potential employers a taste of what you can do and set you apart from the crowd.

✨Tip Number 3

Stay current! Keep up with the latest trends in AI, ML, and cryptocurrency. Join online forums or follow relevant blogs to stay in the loop and bring fresh ideas to interviews.

✨Tip Number 4

Apply through our website! We’re always on the lookout for talented individuals like you. Don’t hesitate to submit your application directly; it shows initiative and interest in being part of our team.

We think you need these skills to ace Machine Learning Engineer

AI Engineering
ML Engineering
Data Science
Blockchain Analysis
Model Design and Implementation
Scalability Optimization
Integration of AI/ML Models
Mentoring
Cross-Functional Collaboration
Problem-Solving
Staying Current with AI/ML Advancements
Creative Solution Development

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in AI and ML, especially in relation to blockchain data. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML and how you can contribute to our mission in the cryptocurrency space. Keep it engaging and personal – we love to see your personality!

Showcase Your Projects: If you've worked on any cool AI/ML projects, especially those related to crypto or blockchain, make sure to mention them. We’re keen to see your hands-on experience and how you’ve tackled real-world challenges.

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’re considered for the role. Plus, it shows you’re serious about joining our team!

How to prepare for a job interview at Harnham

✨Know Your AI/ML Stuff

Make sure you brush up on the latest trends and technologies in AI and ML, especially as they relate to blockchain. Be ready to discuss specific models you've worked with and how they can be applied to cryptocurrency analytics.

✨Showcase Your Problem-Solving Skills

Prepare to share examples of complex challenges you've tackled in previous roles. Think about how you designed and deployed AI/ML models and be ready to explain your thought process and the impact of your solutions.

✨Collaborate Like a Pro

Since this role involves working with product managers and engineers, be prepared to discuss your experience in cross-functional teams. Highlight how you’ve successfully integrated AI/ML models into existing platforms and improved user experiences.

✨Mentorship Matters

If you have experience mentoring junior engineers, make sure to mention it! Talk about how you foster best practices in AI/ML development and how you can contribute to building a strong team culture.

Machine Learning Engineer
Harnham

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