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- Tasks: Build and maintain machine learning platform components using Java and C++.
- Company: Leading technology company in the UK with a focus on innovation.
- Benefits: Competitive pay and comprehensive benefits package.
- Why this job: Join a diverse team and work on exciting machine learning projects.
- Qualifications: Strong Java and C++ skills, plus experience with algorithms and ML projects.
- Other info: Promotes collaboration and knowledge sharing in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology company in the United Kingdom is seeking a Principal Java Engineer II to join their Machine Learning team. This role involves building and maintaining the platform components used for machine learning, requiring strong Java and C++ skills. Candidates should have experience with algorithms and machine learning projects. The position promotes collaboration and knowledge sharing within a diverse, distributed team. Competitive pay and benefits package included.
Principal Java ML Platform Engineer in London employer: Elasticsearch B.V.
Contact Detail:
Elasticsearch B.V. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Java ML Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in machine learning. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Java and C++ projects, especially those related to algorithms and machine learning. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your past projects and how you've collaborated with teams. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Principal Java ML Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Java and C++ skills, especially in relation to machine learning projects. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant algorithms you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning and how you can contribute to our team. We love seeing enthusiasm and a bit of personality, so let us know what excites you about this role.
Showcase Collaboration Skills: Since we value collaboration, mention any experiences where you’ve worked in diverse teams or shared knowledge with others. Highlighting these experiences will show us that you’re a great fit for our distributed team environment.
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 don’t miss out on any important updates. Plus, it makes the whole process smoother for everyone involved!
How to prepare for a job interview at Elasticsearch B.V.
✨Know Your Java Inside Out
Make sure you brush up on your Java skills before the interview. Be prepared to discuss your experience with Java in detail, especially in relation to machine learning projects. They’ll likely want to hear about specific algorithms you've implemented and how you've tackled challenges in your previous roles.
✨Showcase Your Machine Learning Knowledge
Since this role is focused on machine learning, be ready to talk about your past projects. Highlight any algorithms you've worked with and how you've applied them in real-world scenarios. It’s a great opportunity to demonstrate your understanding of both the theoretical and practical aspects of machine learning.
✨Emphasise Collaboration Skills
This position promotes collaboration within a diverse team, so be prepared to discuss how you’ve worked with others in the past. Share examples of how you’ve contributed to team projects, resolved conflicts, or shared knowledge. This will show that you’re not just a tech whiz but also a team player.
✨Prepare Questions for Them
Interviews are a two-way street, so think of insightful questions to ask them. Inquire about their current machine learning projects, team dynamics, or how they foster knowledge sharing. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
