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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 working hours, 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: Collaborate with talented data scientists in a dynamic environment.
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 in London employer: TEKEVER
Contact Detail:
TEKEVER Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & ML Platform Engineer — Scale & Impact in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with data scientists and engineers on LinkedIn. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipeline projects or machine learning workflows. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills, especially in Python or Go, and be ready to discuss your past experiences. Practice common interview questions related to data processing and ML workflows.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Data & ML Platform Engineer — Scale & Impact in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data pipeline development and machine learning workflows. 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 data-driven technology and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Technical Skills: Since we’re looking for someone proficient in programming languages like Python or Go, make sure to mention specific projects or experiences where you’ve used these skills. We love seeing real-world applications of your expertise!
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 follow the prompts!
How to prepare for a job interview at TEKEVER
✨Know Your Tech Stack
Make sure you’re well-versed in the programming languages mentioned in the job description, 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 help demonstrate your expertise and problem-solving skills.
✨Understand the Company’s Impact
Research the unmanned technology firm and understand their mission and the impact they aim to make in the field of data-driven technology. This will not only help you tailor your answers but also show your genuine interest in contributing to their goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use, and the challenges they face in data pipeline development. This shows that you’re not just interested in the role, but also in how you can contribute to the team’s success.
