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- Tasks: Build and maintain machine learning platform components using Java and C++.
- Company: Leading tech company in the UK with a focus on innovation.
- Benefits: Competitive pay, great benefits, and opportunities for collaboration.
- Why this job: Join a diverse team and work on exciting machine learning projects.
- Qualifications: Strong Java and C++ skills with experience in algorithms and ML.
- Other info: Promotes knowledge sharing and offers excellent career growth.
The predicted salary is between 48000 - 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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! If you've got a GitHub or portfolio showcasing your Java and machine learning projects, make sure to share it during interviews. It’s a great way to demonstrate your expertise beyond just words.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and coding challenges. We recommend practicing with platforms that focus on Java and ML concepts to get you in the zone.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. 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
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 excited about this role and how you can contribute to our Machine Learning team. We love seeing passion and enthusiasm, so let that come through!
Showcase Collaboration Skills: Since this role promotes collaboration within a diverse team, make sure to mention any experiences where you’ve worked effectively with others. We value knowledge sharing, so highlight how you’ve contributed to team success in the past.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 know how you've applied Java in real-world scenarios.
✨Showcase Your Machine Learning Knowledge
Since this role is all about machine learning, be ready to talk about algorithms and any relevant projects you've worked on. Bring examples of how you've implemented machine learning solutions and be prepared to explain your thought process.
✨Emphasise Collaboration Skills
This position promotes collaboration within a diverse team, so highlight your teamwork experiences. Share specific instances where you’ve successfully collaborated with others, especially in distributed teams, to solve complex problems.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about their machine learning platform and team dynamics. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
