At a Glance
- Tasks: Lead the evolution of our data platform to become AI-native and drive AI adoption.
- Company: Join ECA International Group, a supportive and innovative organisation.
- Benefits: Enjoy enhanced pension contributions, 25 days annual leave, and personal development opportunities.
- Other info: Be part of a dynamic team with excellent growth potential.
- Why this job: Make a real impact by leading AI initiatives in a hybrid work environment.
- Qualifications: Strong cloud service knowledge and experience in AI applications required.
The predicted salary is between 70000 - 90000 £ per year.
The ECA International Group is looking for a leader to evolve their data platform to become AI-native, facilitating AI adoption across the organization. The role includes designing multi-source data ingestion, building AI endpoints, and leading a technical team within a supportive environment.
Candidates should have strong cloud service knowledge and experience in AI applications.
The position offers benefits like enhanced pension contributions, 25 days annual leave, and opportunities for personal development, all within a hybrid work model.
AI-Native Data Platform Lead (Hybrid) in London employer: The ECA International Group
ECA International is an exceptional employer for Software Engineers, offering a dynamic work environment that fosters collaboration and innovation. With a strong emphasis on employee growth, we provide opportunities for continuous learning and professional development, ensuring our team stays at the forefront of technology. Located in a vibrant area, our culture promotes teamwork and creativity, making it a rewarding place to contribute to impactful software solutions.
Contact Details:
The ECA International Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI-Native Data Platform Lead (Hybrid) in London
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We think you need these skills to ace AI-Native Data Platform Lead (Hybrid) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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