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- Tasks: Design and deploy AI-powered applications to enhance client engagement.
- Company: Global advisory firm with a people-first culture.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team and innovate in the exciting field of AI.
- Qualifications: Strong background in machine learning, Python, and Azure tools.
- Other info: Collaborative environment with a focus on innovation and teamwork.
The predicted salary is between 36000 - 60000 £ per year.
A global advisory firm in the UK seeks an experienced AI/ML Engineer to design and deploy AI-powered applications, streamlining operations and enhancing client engagement. This role involves collaboration across teams, model development, and innovation in AI integration.
Candidates should have a strong background in machine learning, Python programming, and experience with Azure tools. A collaborative and people-first culture is promoted, making it an exciting opportunity for those passionate about AI.
Enterprise AI Engineer: Build Scalable AI Solutions employer: BPM
Contact Detail:
BPM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise AI Engineer: Build Scalable AI Solutions
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or contributions to open-source initiatives. This not only highlights your expertise but also demonstrates your passion for innovation in AI.
✨Tip Number 3
Prepare for interviews by brushing up on common AI/ML questions and case studies. Practising with a friend or using mock interview platforms can help you articulate your thought process clearly and confidently.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our collaborative culture. Plus, it makes tracking your application super easy for us!
We think you need these skills to ace Enterprise AI Engineer: Build Scalable AI Solutions
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with machine learning and Python programming in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the Enterprise AI Engineer role. Mention specific projects or experiences that align with designing and deploying AI-powered applications. This shows us you’re genuinely interested!
Collaborate in Your Writing: Since we value collaboration, reflect this in your application. Share examples of how you've worked with teams to innovate and integrate AI solutions. It’ll give us a glimpse into how you might fit into our people-first culture.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at BPM
✨Know Your AI Stuff
Make sure you brush up on your machine learning concepts and Python programming skills. Be ready to discuss specific projects you've worked on, especially those involving AI-powered applications. This will show that you not only understand the theory but also have practical experience.
✨Familiarise with Azure Tools
Since the role requires experience with Azure tools, take some time to explore the latest features and functionalities. Being able to talk about how you've used Azure in past projects or how you would leverage it for the company's needs can really set you apart.
✨Show Your Collaborative Spirit
This company values a people-first culture, so be prepared to share examples of how you've successfully collaborated with teams in the past. Highlight your communication skills and how you approach teamwork, as this will resonate well with their ethos.
✨Innovate and Inspire
Think about innovative ideas you could bring to the table regarding AI integration. During the interview, don’t hesitate to share your vision for future AI developments and how they could enhance client engagement. This shows your passion and forward-thinking mindset.
