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- Tasks: Lead a team to develop innovative AI and machine learning solutions.
- Company: Pipedrive, a forward-thinking tech company in Greater London.
- Benefits: Flexible hours, competitive salary, and various perks.
- Other info: Join a dynamic team and influence major AI strategies.
- Why this job: Shape the future of AI and deliver impactful data products.
- Qualifications: 8+ years in applied science or engineering with strong leadership skills.
The predicted salary is between 80000 - 120000 £ per year.
Pipedrive is looking for a Principal AI/ML Scientist & Engineer in Greater London to lead a team focused on AI and machine learning solutions. The ideal candidate will have over 8 years of experience in applied science or engineering, strong technical leadership skills, and a deep understanding of AI engineering concepts. This role offers the opportunity to influence significant AI strategies and deliver real business value through innovative data products. Flexible hours and various benefits are included.
Principal AI/ML Architect & Builder employer: Pipedrive
Contact Detail:
Pipedrive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal AI/ML Architect & Builder
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space on LinkedIn or at local meetups. We can’t stress enough how personal connections can open doors to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it’s a GitHub repo or a personal website, let us see what you can do. This is your chance to shine and demonstrate your expertise!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past projects in detail. We recommend practising common interview questions related to AI/ML to boost your confidence.
✨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 AI/ML Architect & Builder
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing your technical leadership and any innovative projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for AI and how you can influence our strategies. Keep it engaging and personal – we love to see your personality shine through!
Showcase Your Achievements: When detailing your experience, focus on specific achievements that demonstrate your impact in previous roles. Use metrics where possible to quantify your success – we’re all about data-driven results!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at Pipedrive!
How to prepare for a job interview at Pipedrive
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be prepared to discuss your past projects in detail, showcasing how you've applied your knowledge to solve real-world problems.
✨Showcase Leadership Experience
Since this role requires strong technical leadership skills, think of examples where you've led a team or project. Highlight your ability to mentor others and drive innovation within your team.
✨Understand Pipedrive's Vision
Research Pipedrive’s current AI initiatives and be ready to discuss how your expertise can align with their goals. This shows that you're genuinely interested in the company and its direction.
✨Prepare for Technical Questions
Expect in-depth technical questions related to AI engineering concepts. Brush up on algorithms, data structures, and any relevant programming languages. Practising coding challenges can also help you feel more confident.