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- Tasks: Develop API services and manage data processing on Azure and Databricks.
- Company: Join a forward-thinking tech company with a focus on innovation.
- Benefits: Enjoy a competitive salary, 25 days holiday, and flexible working options.
- Why this job: Be part of a new team and make an impact in the data platform space.
- Qualifications: Experience in ML Ops, Azure, and Databricks is essential.
- Other info: Remote role with great opportunities for career advancement.
The predicted salary is between 50000 - 70000 £ per year.
A technology company is seeking a Machine Learning Engineer to join a newly established team focused on a data platform project. This remote role involves developing API services using Azure and Databricks while managing data processing with Delta Live Tables.
Candidates should possess solid experience in ML Ops, particularly related to Azure and Databricks, and familiarity with Snowflake and Redis.
The position offers a salary of £50k-£70k, along with excellent benefits including 25 days holiday and flexible working options.
Remote ML Engineer - Azure & Databricks Platform in Bristol employer: TipTopJob
Contact Detail:
TipTopJob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote ML Engineer - Azure & Databricks Platform in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or join relevant online communities. We can’t stress enough how personal connections can lead to job opportunities, especially in tech.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure and Databricks. We all know that actions speak louder than words, so let your work do the talking.
✨Tip Number 3
Prepare for interviews by practising common ML Engineer questions and scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Remote ML Engineer - Azure & Databricks Platform in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Databricks, and ML Ops. 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 excited about this role and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any cool projects involving Delta Live Tables or data processing, make sure to mention them! We love seeing practical examples of your work that demonstrate 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 don’t miss out on any important updates from our team!
How to prepare for a job interview at TipTopJob
✨Know Your Tech Stack
Make sure you’re well-versed in Azure, Databricks, and Delta Live Tables. Brush up on your ML Ops knowledge and be ready to discuss how you've used these technologies in past projects. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in machine learning projects and how you overcame them. Companies love candidates who can think critically and adapt to new situations, so have a few examples ready that highlight your problem-solving abilities.
✨Understand the Company’s Vision
Research the technology company and its goals, especially regarding their data platform project. Being able to articulate how your skills align with their vision will demonstrate your genuine interest in the role and help you stand out from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project timelines, and the technologies they plan to implement. This not only shows your enthusiasm for the position but also helps you gauge if the company is the right fit for you.
