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- Tasks: Design and lead enterprise-scale data platforms and advanced ML/AI solutions.
- Company: Leading data solutions company with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and mentorship opportunities.
- Why this job: Shape data strategies and work with cutting-edge cloud technologies.
- Qualifications: Over 8 years of experience in data architecture and strong stakeholder management skills.
- Other info: Opportunity to mentor junior team members in a dynamic environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading data solutions company is seeking a Data & ML Architect to design and lead enterprise-scale data platforms and advanced ML/AI solutions. You will shape data strategies, work with cutting-edge cloud technologies, and mentor junior team members.
The ideal candidate has over 8 years of experience in data architecture and strong stakeholder management skills. This hybrid role requires security clearance eligibility and offers a competitive salary.
Security-Cleared Data & ML Architect | Hybrid UK in Newcastle upon Tyne employer: INOVERSE GROUPE
Contact Detail:
INOVERSE GROUPE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Security-Cleared Data & ML Architect | Hybrid UK in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and ML field. Attend industry meetups or webinars to meet potential employers and showcase your expertise.
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects. We recommend practising common interview questions related to data architecture and ML solutions.
✨Tip Number 3
Show off your portfolio! If you’ve worked on impressive data platforms or ML projects, create a portfolio that highlights your achievements. This can really set you apart from other candidates.
✨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!
We think you need these skills to ace Security-Cleared Data & ML Architect | Hybrid UK in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your 8+ years of experience in data architecture and any relevant projects that showcase your expertise in ML/AI solutions.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share your passion for data solutions and how your background aligns with our mission at StudySmarter. Don’t forget to mention your stakeholder management skills!
Showcase Your Technical Skills: Since this role involves cutting-edge cloud technologies, be sure to list any relevant tools and platforms you’ve worked with. We want to see your hands-on experience and how you’ve applied it in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at INOVERSE GROUPE
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest data architecture trends and technologies. Brush up on your knowledge of cloud platforms and ML/AI solutions, as you’ll likely be asked to discuss how you can leverage these in your role.
✨Showcase Your Leadership Skills
Since mentoring junior team members is part of the job, prepare examples of how you've successfully led teams or projects in the past. Highlight your stakeholder management experience and how you’ve navigated complex relationships.
✨Prepare for Technical Questions
Expect some deep dives into your technical expertise. Review common data architecture challenges and be ready to discuss how you would approach them. Practising with mock interviews can help you articulate your thought process clearly.
✨Understand the Company’s Vision
Research the company’s data strategies and recent projects. Being able to align your skills and experiences with their goals will show that you’re genuinely interested and invested in the role.
