Machine Learning Engineer
Machine Learning Engineer

Machine Learning Engineer

Worcester Full-Time 36000 - 60000 Β£ / 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: Dynamic cryptocurrency analytics firm focused on AI and ML innovation.
  • Benefits: Remote work, competitive salary, and opportunities for professional growth.
  • Why this job: Join a cutting-edge team and shape the future of blockchain analytics.
  • Qualifications: Experience in AI/ML engineering and a passion for cryptocurrency.
  • Other info: Mentorship opportunities and a collaborative environment await you.

The predicted salary is between 36000 - 60000 Β£ 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. As a Senior AI/ML Engineer, you will thrive in a collaborative remote work culture that encourages creativity and continuous learning, while playing a pivotal role in shaping cutting-edge blockchain solutions. With opportunities for mentorship and professional development, this company is dedicated to empowering its employees to excel in the rapidly evolving world of AI and cryptocurrency.
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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. Share your insights on social media or in forums to demonstrate your passion and knowledge in the field.

✨Tip Number 4

Apply through our website! We’re always on the lookout for talented individuals like you. Make sure to tailor your application to highlight your experience with AI/ML and blockchain technologies.

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 role, 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 cryptocurrency and how your expertise can help us enhance our platform. Keep it engaging and personal.

Showcase Your Projects: If you've worked on any AI/ML projects, especially those related to crypto or blockchain, make sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions of your work!

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 keen on 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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