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- Tasks: Lead AI/ML initiatives and manage core systems while mentoring teams.
- Company: A leading global crypto company with a focus on innovation.
- Benefits: Fully remote work, diverse culture, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and shape the future of AI in crypto.
- Qualifications: 10+ years in machine learning, expertise in Python and MLOps.
- Other info: Embrace a dynamic and inclusive workspace with exciting challenges.
The predicted salary is between 48000 - 72000 £ per year.
A leading global crypto company is seeking a senior engineer to lead Machine Learning initiatives. You will be responsible for setting technical direction, managing core ML systems, and mentoring teams to apply cutting-edge AI technologies. This position blends technical contributions with leadership roles.
Ideal candidates will have over 10 years of experience in machine learning and strong expertise in Python, MLOps practices, and distributed systems. The role is fully remote, promoting a diverse and inclusive workspace.
Remote AI/ML Platform Lead - Senior Engineer in London employer: Kraken
Contact Detail:
Kraken Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote AI/ML Platform Lead - Senior Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML space and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a position that’s not even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving Python and MLOps. This will give potential employers a taste of what you can bring to the table and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership skills. Be ready to discuss how you've managed teams and implemented ML systems in the past. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Remote AI/ML Platform Lead - Senior Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and Python. We want to see how your skills align with the role, so don’t be shy about showcasing your past projects and achievements!
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 lead initiatives at our company. We love seeing personality, so let your enthusiasm come through!
Showcase Leadership Experience: Since this role involves mentoring and leading teams, make sure to highlight any leadership roles you've had. We’re looking for someone who can inspire others, so share examples of how you’ve done this in the past.
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Kraken
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI and ML technologies. Brush up on your Python skills and be ready to discuss MLOps practices and distributed systems in detail. The interviewers will want to see that you can not only lead but also contribute technically.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led teams in the past. Think about specific projects where you mentored others or set technical direction. This role blends leadership with technical expertise, so demonstrating your ability to inspire and guide a team is crucial.
✨Understand the Company’s Vision
Research the company’s mission and values, especially in the crypto space. Be ready to discuss how your experience aligns with their goals and how you can contribute to their initiatives. Showing genuine interest in their work will set you apart from other candidates.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think through potential challenges in ML systems and how you would address them. Practising these types of questions can help you articulate your thought process clearly during the interview.
