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- Tasks: Design and maintain data processing pipelines and machine learning workflows.
- Company: Leading unmanned technology firm focused on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a significant impact in the exciting field of data-driven technology.
- Qualifications: Over three years of experience and proficiency in Python or Go.
- Other info: Collaborative environment with a focus on cutting-edge technology.
The predicted salary is between 36000 - 60000 £ per year.
A leading unmanned technology firm is seeking a Data & ML Platform Engineer to design and maintain infrastructure for data processing pipelines and machine learning workflows. This role involves data pipeline development, database management, and collaboration with data scientists.
Candidates should have over three years of experience, a degree in a related field, and proficiency in programming languages like Python or Go. Join us to make a significant impact in the field of data-driven technology.
Data & ML Platform Engineer — Scale & Impact employer: TEKEVER
Contact Detail:
TEKEVER Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & ML Platform Engineer — Scale & Impact
✨Tip Number 1
Network like a pro! Reach out to professionals in the unmanned technology field on LinkedIn. A friendly chat can open doors and give you insights that might just land you that Data & ML Platform Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipeline projects or machine learning workflows. This is your chance to demonstrate your programming prowess in Python or Go, and it’ll make you stand out from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past experiences with database management and collaboration with data scientists. We want to see how you can make an impact!
✨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 joining our team.
We think you need these skills to ace Data & ML Platform Engineer — Scale & Impact
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data pipeline development and database management. We want to see how your skills align with the role, so don’t be shy about showcasing your proficiency in Python or Go!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data-driven technology and how your background makes you a perfect fit for our team. Let us know what excites you about this role!
Showcase Relevant Projects: If you've worked on any projects related to machine learning workflows or data processing pipelines, make sure to mention them. We love seeing real-world applications of your skills, so share those experiences with us!
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 from our team. We can’t wait to hear from you!
How to prepare for a job interview at TEKEVER
✨Know Your Tech Stack
Make sure you’re well-versed in the programming languages mentioned, like Python or Go. Brush up on your knowledge of data processing pipelines and machine learning workflows, as you’ll likely be asked to discuss your experience with these technologies.
✨Showcase Your Projects
Prepare to talk about specific projects where you've designed or maintained data infrastructure. Highlight your role, the challenges you faced, and how you collaborated with data scientists. Real-world examples will make your experience stand out.
✨Understand the Company’s Impact
Research the unmanned technology firm and understand their mission and the impact they aim to make in the field. Being able to articulate how your skills align with their goals will show your genuine interest in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use, and the challenges they face. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
