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For Companies At a Glance
- Tasks: Lead data architecture and ML projects, collaborating with clients using Databricks.
- Company: A leading data engineering company with a focus on innovation.
- Benefits: Remote work flexibility, competitive salary, and significant growth opportunities.
- Why this job: Join a dynamic team and shape the future of AI and ML.
- Qualifications: 5+ years in data science, strong cloud platform skills, and Databricks experience.
- Other info: Exciting role with potential for career advancement in a fast-paced environment.
The predicted salary is between 70000 - 100000 £ per year.
A leading data engineering company is seeking a Principal AI Engineer to join remotely in the UK. This pivotal role involves leading data architecture and ML projects for clients, particularly in collaboration with Databricks.
Ideal candidates will have:
- Over 5 years in data science
- Strong skills in cloud platforms
- Proven experience with Databricks tools
The position offers remote flexibility, competitive salary ranging from £70,000 to £100,000 per year, and significant growth opportunities within the organization.
Senior AI Architect & ML Ops Lead — Remote UK employer: DATAPAO
Contact Detail:
DATAPAO Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Architect & ML Ops Lead — Remote UK
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering and AI space. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving Databricks and cloud platforms. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and ML questions. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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!
We think you need these skills to ace Senior AI Architect & ML Ops Lead — Remote UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and cloud platforms. We want to see how your skills align with the role, especially your work with Databricks tools.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about AI and ML Ops, and how your background makes you the perfect fit for this role. Keep it engaging!
Showcase Relevant Projects: If you've led any significant projects in data architecture or ML, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back!
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 this exciting opportunity!
How to prepare for a job interview at DATAPAO
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI and ML technologies, especially those related to Databricks. Brush up on your cloud platform skills and be ready to discuss specific projects where you've applied these tools.
✨Showcase Your Leadership Skills
As a Senior AI Architect & ML Ops Lead, you'll need to demonstrate your ability to lead teams and projects. Prepare examples of how you've successfully managed teams or projects in the past, focusing on your leadership style and decision-making process.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in previous roles and how you overcame them, particularly in data architecture and ML project management.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects with Databricks or how they envision the future of AI in their operations. This shows you're not just interested in the job, but also in the company's direction.
