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- Tasks: Lead the development of low-code AI solutions and enhance business operations with innovative strategies.
- Company: A tech-driven recruitment company based in the UK, focused on AI advancements.
- Benefits: Remote work flexibility, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team to shape the future of AI in enterprise solutions.
- Qualifications: Proficiency in Azure, experience with Large Language Models, and strong Python/SQL skills.
- Other info: Collaborative environment with a focus on innovation across business units.
The predicted salary is between 48000 - 72000 £ per year.
A technology-driven recruitment company based in the UK is seeking a Lead Enterprise AI Engineer to lead the operationalization of AI strategies. The successful candidate will be responsible for developing low-code AI solutions and curating semantic models to enhance business operations.
Proficiency in the Azure/Microsoft ecosystem, experience with Large Language Models, and strong coding skills in Python and SQL are essential. This role offers opportunities for innovation and collaboration across various business units.
Remote Lead AI Engineer — Enterprise Solutions in Doncaster employer: Multitask Personnel
Contact Detail:
Multitask Personnel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Lead AI Engineer — Enterprise Solutions in Doncaster
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your low-code AI solutions and semantic models. This is your chance to demonstrate what you can do beyond the written application.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of the Azure/Microsoft ecosystem and be ready to discuss your experience with Large Language Models. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who take the extra step to connect with us directly. It shows initiative and enthusiasm!
We think you need these skills to ace Remote Lead AI Engineer — Enterprise Solutions in Doncaster
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with the Azure/Microsoft ecosystem and your coding skills in Python and SQL. We want to see how you can bring your expertise to the table!
Tailor Your Application: Don’t just send a generic application! Customise your CV and cover letter to reflect how your background aligns with the Lead AI Engineer role. We love seeing candidates who take the time to connect their experience with our needs.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and get back to you quickly!
How to prepare for a job interview at Multitask Personnel
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of the Azure/Microsoft ecosystem. Be ready to discuss how you've used these tools in past projects, especially when it comes to developing low-code AI solutions.
✨Showcase Your Coding Skills
Prepare to demonstrate your coding prowess in Python and SQL. You might be asked to solve a problem on the spot, so practice common coding challenges and be ready to explain your thought process.
✨Understand Large Language Models
Familiarise yourself with Large Language Models and their applications in business. Be prepared to discuss how you can leverage these models to enhance operations and drive innovation within the company.
✨Collaboration is Key
Since this role involves working across various business units, think of examples where you've successfully collaborated with different teams. Highlight your communication skills and how you can bridge gaps between technical and non-technical stakeholders.
